Header 1

Our future, our universe, and other weighty topics


Showing posts with label Nobel Prize. Show all posts
Showing posts with label Nobel Prize. Show all posts

Thursday, January 9, 2025

Two 2024 Nobel Prize Press Releases Misinformed Us Badly

In a previous post entitled "Misleading Statements in a Recent Nobel Prize Announcement" I analyzed quite a few misleading statements in the press release (and a supplementary document of that release) issued by a  Nobel Prize committee announcing the year 2024 Nobel Prize in Chemistry. The press release I discussed was not the only misleading press release issued in 2024 by a Nobel Prize committee. There were also bad errors in the press release announcing the Nobel Prize in Physiology or Medicine. 

In its second sentence that press release contained this piece of fiction: "The information stored within our chromosomes can be likened to an instruction manual for all cells in our body."  The information referred to is DNA, also called the genome. DNA consists mainly of genes. But neither DNA nor its genes contain any such thing as an instruction manual for cells. DNA has no specification of how to build a cell or any of its organelles, or how to maintain or correctly position any cells.  DNA does not even specify how to construct the protein complexes that make up organelles. 

The level of organization in the body is as follows: a body consists mainly of organ systems and a skeletal system; organ systems are built mainly from organs; organs are built from tissues; tissues are built from cells; cells are built from many types of organelles; organelles are built mainly from proteins complexes; protein complexes are built from proteins; and proteins are built from amino acids. The chromosome and its DNA does not have any specification of how to construct any of these levels higher than protein molecules. So it is a huge falsehood to claim that "the information stored within our chromosomes can be likened to an instruction manual for all cells in our body."  DNA does not tell how to make a cell or any of the main components of a cell; and DNA does not tell cells how to act or where they should go in the body. 

The Nobel Prize press release contained the following paragraph. I will put the false statements in boldface underline:

"The information stored within our chromosomes can be likened to an instruction manual for all cells in our body. Every cell contains the same chromosomes, so every cell contains exactly the same set of genes and exactly the same set of instructions. Yet, different cell types, such as muscle and nerve cells, have very distinct characteristics. How do these differences arise? The answer lies in gene regulation, which allows each cell to select only the relevant instructions. This ensures that only the correct set of genes is active in each cell type."

No, gene regulation does not constitute even a half-explanation of why we end up with different cell types.  Gene regulation refers to a cell's use or non-use of certain types of proteins. But that does not even half-explain why the human body has 200 different types of cells, with so many different functions, structures and characteristics. Similarly, if there were some person traveling to different construction sites, and merely saying things such as "use copper pipes" and "don't use cinder blocks" and "use steel beams" and "don't use wood 2 by 4's," that would never explain how one construction site might produce a stone church and another construction site might produce a mansion and another construction site might produce a shopping mall. Nowhere in chromosomes or DNA are there any instructions for building a cell or any of its organelle components, and neither chromosomes nor DNA nor its genes has any instructions on how to maintain, position or reproduce a cell. 

The press release in question announced the awarding of a Nobel Prize for the discovery of a microRNA  by Victor Ambros and Gary Ruvkun. A microRNA is a very tiny chemical unit that is only 18 to 25 nucleotides. About 1000 microRNA molecules have been discovered.  Molecules so small with so little information are utterly incapable of explaining the vast mystery of why there arises so many different types of enormously complex cells specialized for different biological purposes. 

The Nobel Prize press release I am discussing gives us the extremely misleading visual below:

biology complexity misrepresentation

The diagram above misleads us badly in three different ways. First, it omits two different layers of organization, and gives us the profoundly misleading idea that cells are directly made from proteins. The truth is that cells are made from extremely complex components called organelles, which are built from extremely complex protein complexes, which are built from protein molecules.  Second, the diagram misleads us badly by giving us a visual suggesting  that cells are very simple. We see a cell that has only a few organelles.  The truth is that human cells typically contain very many thousands of organelles. Third, the diagram makes proteins look like very simple things with only a few parts. Human proteins have an average of about 450 amino acids each, which must be very specially arranged for them to perform their functions. 

Schematic diagrams of cells are constantly misleading us by depicting cells with only a few organelles. Specifically:

  • A cell diagram will typically depict a cell as having only one or a few mitochondria, but human cells typically have many thousands of mitochondria, as many as a million.
  • A cell diagram will typically depict a cell as having only only one or a few lysosomes, but human cells typically have hundreds of lysosomes.
  • A cell diagram will typically depict a cell as having only a few ribosomes, but a human cell may have up to 10 million ribosomes.
  • A cell diagram will typically depict one or a few stacks of a Golgi apparatus, each with only a few cisternae. But a cell will typically have between 10 and 20 stacks, each having as many as 60 cisternae.
  • A cell diagram will rarely even depict a microtubule, although according to the paper here "cells can contain from just a few to many hundreds of microtubules (Aikawa, 1971; Osborn & Weber, 1976)." 
  • The membranes of cells are extremely complicated structures, consisting of four layers, with each layer being populated by many types of proteins each consisting of hundreds of well-arranged parts.  Some of this complexity could easily be shown by a "closeup circle" in a cell diagram, showing a closeup of part of the membrane.  But we rarely see any such depiction of the complexity of the cell membrane,  and cell diagrams almost always have cell membranes depicted as featureless things looking as simple as the surface of a balloon. 
  • The cytosol of a cell is typically depicted as if it were a simple fluid like water. But the cytosol is actually loaded with many types of complex protein molecules needed for cell function. 

There is no excuse for the continuation of misleading cell diagrams in the literature of biology. For the past twenty years it has been easy to use computer graphics to make very sophisticated high-resolution diagrams capable of properly representing the complexity of cells. But almost no one is creating such diagrams, and we continue to see most cell diagrams looking like something hand-painted in the 1950's.  

The type of cell diagrams we usually see in biology literature are misrepresentations as absurd as trying to depict gigantic skyscrapers like the Empire State Building or the 828-meter-tall Burj Khalifa tower  by using ridiculously simplistic diagrams like this:


We get more very misleading talk later in the Nobel Prize press release with this statement:

"Gene regulation by microRNA, first revealed by Ambros and Ruvkun, has been at work for hundreds of millions of years. This mechanism has enabled the evolution of increasingly complex organisms."

The word "enable" means "give (someone or something) the authority or means to do something." The biological and chemical requirements for complex organisms are endless and ubiquitous, and most involve things vastly more complex than microRNA molecules, which are very small molecules. So to claim that mere microRNAs  "enabled the evolution of increasingly complex organisms" is to misspeak badly.  A correct statement would be that microRNAs are some of the least complex of the enormously high number of things needed for the appearance of organisms as complex as humans. 

The diagram below correctly describes the levels of organization in the human body, and tells us what is not specified by DNA. 

what DNA does not specify

We have in this Nobel Prize press release and its diagram a repetition of one of the most misleading claims of biologists between 1975 and 2024: the groundless claim that genes contain programs for development. DNA is not a program, and the genes that make up DNA are not any program that forms organisms. DNA does not have any of the control structures (such as if/then statements) found in computer programs. DNA does not specify the growth of an organism, and does not know or state anything about organisms or their cells. 

Professor Massimo Pigliucci (mainstream author of numerous scientific papers on evolution) has stated  that "old-fashioned metaphors like genetic blueprint and genetic programme are not only woefully inadequate but positively misleading." In the book Mind in Life by Evan Thompson (published by the Belknap Press of Harvard University Press) we read the following on page 180: "The plain truth is that DNA is not a program for building organisms, as several authors have shown in detail (Keller 2000, Lewontin 1993, Moss 2003)."  Developmental biologist C/H. Waddington stated, "The DNA is not a program or sequentially accessed control over the behavior of the cell." On the web site of the well-known biologist Denis Noble, we read that "the whole idea that genes contain the recipe or the program of life is absurd, according to Noble," and that we should understand DNA "not so much as a recipe or a program, but rather as a database that is used by the tissues and organs in order to make the proteins which they need." A paper by cell biologist Stuart A. Newman states,  "It would be unfortunate if we find ourselves having emerged from a period of misconceived genetic program metaphors only to land in a brave new world captivated by equally misguided ones about self-organization."

Part of the press release helps reveal the utter inadequacy of anything discovered by the awarded scientists to explain the mountain-sized mystery of cell differentiation. We read this: "Ambros and Ruvkun performed further experiments showing that the lin-4 microRNA turns off lin-14 by binding to the complementary sequences in its mRNA, blocking the production of lin-14 protein."  These guys merely found 
an off-switch for a particular protein. That cannot be more than just the tiniest piece in a gigantic puzzle with thousands of missing pieces, since cells use 20,000+ proteins, and since off-switches can't explain 200 very diverse types of enormous organization as we see in cells. And since tiny little microRNAs don't even have as much information as found on a single sentence of this post, it's pretty laughable to be elevating them to be things explaining the variety of human cells, things far more complex than any blog post I've ever written. 

The false claim made by the Nobel Prize press release (that gene regulation or gene expression explains why we have 200 different types of cells with vastly different sizes, structures, locations and functions) has been stated by many sources. False information about genes and DNA is super-abundant in the literature of biology, where groundless fictions about DNA have been steadily told for 75 years. The main reason such misinformation has been passed around in my post here. The same post quotes dozens of scientists and doctors who told us the truth about such matters, telling us that DNA is no blueprint, recipe or program for building a body or any of its cells. 

A phrase such as "gene expression" or "gene regulation" is vacuous as an explanation for why cells have different structures and different locations and why they use different proteins. Gene expression refers to what proteins a cell uses and how often they are used. Rather than being an explanation for why different cells are different, the phrase "gene expression" is one aspect of how they are different.  Appealing to "gene expression" as an explanation for why two cells are different is as vacuous as answering a question of "how come a computer is arranged differently from a refrigerator" by saying "because they have different parts in different places." Similarly the term "gene regulation" refers to a large variety of different complicated factors that differ when different cells end up with different concentrations of proteins.  But as an explanation for why two cells are different, the phrase "gene regulation" is as vacuous as trying to answer the question of "how come a computer is arranged differently from a refrigerator" by using a phrase such as "part placement differences." Having within it no concept or specification of a cell, DNA has no "gene regulator" controlling how many proteins of different types go into particular cells. Instead of referring to one discrete thing, the term "gene regulation" refers to dozens of scattered little things that differ when different types of cells arise.  Appealing to "gene regulation" as an explanation is as vacuous as trying to explain why a cathedral looks different from a factory by appealing to "assembly differences"  or "construction methodology." When used as an attempted explanation, the obscure phrase "gene regulation" is an example of hand-waving. Different gene regulation in different cells is one aspect of different cells being different, not an explanation of why they are different. 

As shown by this post and a previous post of mine, the year 2024 has proven that we should have no great confidence in the claims made by press releases announcing Nobel Prize awards. Nobel Prize press releases should be treated with the same suspicion and critical scrutiny we should have for university press releases announcing science research. Such press releases are very often guilty of very bad groundless boasting and misleading claims. 

Earlier in this century a biologist spoke truthfully about how little biologists understand cells, stating this:

"Cell biology is a mystery for many reasons one
of which is the lack of basic knowledge. This may
be the fault of scientists or simply a failure in basic
information at the level of common contemporary
knowledge. The well known sentence of Socrates:
'I know that I know nothing' is as true in cell
biology as in other scientific fields. This sentence
was modified by Lloyd in 1986 who claimed: 'The
closer we look, the less we see'. I would like to
modify this sentence yet again as a cell biologist and
microscopist: 'The closer we look, the less we know
about.' ... Everyone involved in cell
biology, is surprised how limited is our knowledge
about the various cell compartments....It should now be mentioned that our knowledge even of basic cell organelles, including their various functions, is very limited....We know something about cell organelles, including various nuclear compartments, but most of their functions are waiting for further and better clarification....Depending on conditions, selected genes may be repressed or derepressed and activated giving to rise to the particular cell lineage with characteristic cell structures and functions. On the other hand, such transformations, including the homing of the transformed cells are also very mysterious although both these processes are empirically used in clinical medicine."

A year 2022 statement by Intel claims that some analysis technique is "beginning to unravel the mystery of cell differentiation." In general when scientists say that they are merely "beginning to unravel" some great mystery, it is a confession that the mystery is still very much not understood by them. Humans don't understand how different cell types arise in the human body, contrary to the boast of the Nobel Prize committee that this is explained by "gene regulation." In 2019 two scientists confessed, "We have little understanding of the processes that allow cells to become different"  (link).

cell differentiation

In the Nobel Prize press release I have criticized, there is a link to some speech given describing the 2024 award for the Nobel Prize in Medicine and Physiology.  The speech gives us a very clumsy analogy in which the construction of a cell is compared to the performance of some symphony, and individual genes are compared to instrument players. The analogy is inappropriate because musicians work with a musical score exactly specifying how a symphony should sound, but DNA and its genes are nothing like a specification of any cell or any organ or any adult body. We read this:

"MicroRNAs are conductors with a special ability. Instead of passionately making gestures to either amplify or dampen music intensity, microRNAs tell musicians only when to quiet down or take a break. ‘You there, play softer! You, take a break!’ "

It's obvious from this analogy that individual MicroRNAs are mere "bit players" or minor cogs in the gigantically complicated process by which enormously organized cells are originated and vastly organized organism bodies are constructed. The awarded discovery merely involves finding one piece in a gigantic jigsaw puzzle which has almost all of its pieces still undiscovered, as illustrated in the visual below. 

current state of developmental biology
 
In many of these cases that are hailed as progress in understanding things, there may be no real progress at all, but just some explanatory "robbing Peter to pay Paul." For example, let us suppose that there is some gene which has its rate of expression slowed down at some particular point in some type of cell. Let us suppose that someone postulates that this occurred because some microRNA sent a message at some point telling the gene  to slow down.  That's just a mere speck of explanatory progress. We've simply gone from "how did the gene know to slow down at this particular time in this particular cell?" to the equally great mystery of "how did the microRNA know that it should signal the gene to slow down at this particular time in this particular cell?"  The problem is that DNA has no actual specification of cells or the organelles that make up cells. So from a mechanistic or reductionist standpoint, none of these chemicals should know anything about what it should be doing at a particular time to help achieve some grand result such as the construction of a particular type of vastly organized cell, or its placement in the correct position in a human body. 

Saturday, October 12, 2024

Misleading Statements in a Recent Nobel Prize Announcement

 This week they announced the winner of the 2024 Nobel Prize in Chemistry. The award went to David Baker "for computational protein design" and Dennis Hassabis and John M. Jumper "for protein structure prediction." The Nobel Prize committee released a press release on this prize which contained quite a few examples of very misleading information. 

The press release had the extremely misleading title "They cracked the code for proteins’ amazing structures." No such thing was done by the winners of this year's Nobel Prize in Chemistry. There is a real code used by protein molecules, what is called the genetic code. That is the code by which particular triple combinations of nucleotide base pairs represent particular amino acids. That code was cracked in the middle of the 20th century. No new code involving proteins was cracked by any of this year's Nobel Prize winners. The work done by Dennis Hassabis and John M. Jumper was work in developing a computer program (AlphaFold2) that achieved a higher  level of success in predicting the three-dimensional structure of proteins, using inputs of the amino acid sequences of such proteins. 

Rather than involving any great insight on how proteins achieve their three-dimensional structures (still a very great unsolved mystery called the protein folding problem), the AlphaFold2 program achieves its limited success by frequentist prediction. Frequentist prediction involves crunching data to find cases such as where someone or something with characteristic X is more likely to have characteristic Y, allowing you to predict that having characteristic X makes you more likely to have characteristic Y, even though you don't understand any causal relation between the two.  For example, you might have some computer program that crunches tons of data, and finds odd little facts such as that people who watched a particular movie are more likely to die of cancer. You might then create some program that predicts your likelihood of dying based on what movies you saw this year.  But you probably would not understand what causal relations were involved. It might be all kinds of hidden causal relations such as the fact that some movie might be preferred by older people more likely to die of cancer, and the fact that some other movie (maybe one of those car daredevil movies) might be preferred by people who drive more dangerously.

The press release misleads us in its very first paragraph by stating this: "Demis Hassabis and John Jumper have developed an AI model to solve a 50-year-old problem: predicting proteins’ complex structures." What is called the protein structure prediction problem (not to be confused with the protein folding problem) is the problem of trying to predict the three-dimensional structure of a protein from its amino acid sequence. Dennis Hassabis and John Jumper made progress on such a problem, but certainly did not solve it.  The three-dimensional structure of the more complex proteins cannot be reliably predicted from their amino acid sequence. 

We have here more of the triumphalist hogwash that institutional science is so often guilty of. Someone may make some progress on some problem, and then people in the world of science academia start shouting "Problem solved!" Often the claimed progress is no real progress at all, or only some very small progress that leaves 90% of the problem still unsolved. 

The Nobel Prize announcement press release then proceeds to  mislead about the nature of protein molecules and life. The press release claims that proteins "control and drive all the chemi­cal reactions that together are the basis of life." Chemical reactions are a very important part of life, but it is nonsense to claim that the totality of chemical reactions are "the basis of life." Life is a state of vast physical organization, and that is something vastly more than just chemical reactions. Human life requires amino acids that are organized into 20,000+ types of protein molecules, which are organized into many types of protein complexes, which are organized into many types of organelles, which are organized into hundreds of different types of cells, which are organized into many types of tissues, which are organized into many types of organs, which are organized into different types of organ systems.  None of those things is a chemical reaction.  So it is a glaring falsehood to refer to "the chemi­cal reactions that together are the basis of life," as if a human body was merely chemical reactions. 

It is also very false to claim that proteins "control and drive all the chemi­cal reactions that together are the basis of life," because there are very many chemical reactions in the body that are not controlled and driven by proteins. Some of these reactions involve other types of molecules such as nucleic acids and other molecules simpler than proteins. And since a protein molecule has no mind or will or intentions, it is misleading to claim that protein molecules "control and drive" chemical reactions.  An accurate statement would be that protein molecules participate in incredibly complex chemical reactions. 

The press release then makes this misleading statement: "Proteins generally consist of 20 different amino acids, which can be described as life’s building blocks." A  large fraction of the people reading the claim that "proteins generally consist of 20 different amino acids" will get the idea that a protein consists of only 20 amino acids.  No, instead the reality is that human protein molecules consist of hundreds or thousands of amino acids, and that there are 20 different types of amino acids. The press release should have said "proteins are built from 20 different types of amino acids," but instead it used a phrase prone to make us think that protein molecules are gigantically simpler than they are. And by using the misleading language in which amino acids are referred to as "building blocks," the press release furthered the misimpression that amino acids can be put together in no special sequence, because building blocks do not have to be arranged in any special order. Instead, amino acids must be arranged in sequences as special and hard-to-achieve as the characters in functional well-written prose. 

building blocks of life deceit

I can imagine some readers of the press release:

Bob: Wow, it says in this Nobel Prize announcement that "proteins generally consist of 20 different amino acids." I never knew that a protein molecule is so simple, with only 20 parts. 

Bill: That's strange, I could have sworn I read somewhere that protein molecules each consist of very many well-arranged parts, usually hundreds, and sometimes thousands. 

Bob: But the Nobel Prize guys say that proteins are made of only 20 amino acids, and surely they must have got things right. So a protein molecule must have only 20 parts. 

We can only wonder how many people were equally misinformed by the misleading press release of the Nobel Prize committee. Then there's a visual released with the press release. The visual makes it look like an amino acid has only one part. Instead amino acids have between 7 to 33 atoms each, which have to be arranged in special structures. The average human protein molecule has about 470 amino acids (according to the paper here), meaning that human protein molecules typically require thousands of atoms that have to be arranged just right.  Similarly, a page of well-written grammatical prose in fine print requires thousands of characters that have to be ordered just the right way to achieve a particular end, in contrast to "building blocks" that can be assembled just fine when no particular order is used. 

Failing to ever refer to cells, the Nobel Prize press release also describes proteins as "the building blocks of different tissues." The hierarchical structure of life is actually that proteins are components of protein complexes, which are components of organelles, which are components of cells, which are components of tissues. Saying that proteins are the building blocks of different tissues is like saying that body cells are the building blocks of football leagues, a statement ridiculous because there are four or five layers of organization (tissues, organs, organ systems, human beings and football teams) between a body cell and a football league. And it is misleading to use the term "building blocks" to describe proteins that require a very special arrangement of hundreds of thousands of parts (unlike building blocks, which require only a single part). 

Why do such mistakes of grotesque oversimplification and misrepresenting complexity keep happening over and over again in the literature of chemistry and biology? What's going on is that our scientists are misteaching us in the way they need to misteach us, in order to foist their triumphal boasts upon us. The groundless boast that human origins are well-understood cannot be widely sold if the vast complexity and enormous physical organization of organisms are realistically depicted, nor can such a boast be widely sold if human minds are depicted in their true complexity and diversity of experiences and capabilities.   So the people selling that false boast must constantly depict bodies and minds as being enormously simpler than they are. And so our biology educators keep miseducating us in so many ways, by doing things such as publishing phony cell diagrams that make cells look as if they have a thousand times fewer organelles than they have, and making statements prone to give people the false idea that a protein molecule has only 20 parts, and making absurdly false claims that life is just some chemical reactions. 

You might call it the Simplicity Scam. Here is how the scam works:

1. You keep claiming that life or mind is “just chemistry.”

2. You keep speaking as if life can be built from simple, unordered parts called “building blocks.”

3. You keep publishing diagrams that make cells look a million times simpler then they are.

4. You keep saying that humans are just “carbon stuff” or “star stuff.”

5. You keep saying that humans are just animals or little more than apes.

6. You keep trying to make the mind look a million times simpler than it is, by saying it is “just consciousness.”

7. You keep speaking as if biological innovations can appear by mere accumulations of genetic accidents, without mentioning the gigantic levels of fine-tuned arrangement, hierarchical organization and component interdependence required everywhere in the body. 

8. You tell the lie that DNA (which has no anatomy information) is a body blueprint, a deceit that makes bodies seem a million times simpler than they are, something simple enough to be built from a blueprint. 

9. You don't tell people about undisputed medical case histories that defy your simple little story that brains make minds and that brains store memories. 

10. You don't tell people about the many neuroscience facts that defy your simple little story that brains make minds and that brains store memories, facts such as the fact that each chemical synapse transmits a nerve signal with a reliability of 50 percent or less (meaning accurate recall should be impossible if it occurs from reading of information stored in brains).

11. You tell people hand-waving simplistic nonsense such as the claim that human memories (of such enormous diversity and information richness) can be stored by some mere bulking up of synapses. 

12. You suppress or ignore accounts of paranormal human abilities and unexplained paranormal phenomena.

13. You use “shame, blame and defame” tactics against the witnesses of such phenomena, to try to preserve the idea that minds are very simple. 

14. You make misleading claims trying to suggest that life can appear once there are "the right ingredients," thereby suggesting that the simplest life is some mere potion or mixture, rather than a state of enormous organization requiring hundreds of different types of complex protein inventions. 

15. You make equally misleading claims trying to suggest that life can arise from nonlife by a mere injection of energy, a "jumpstarting," which is like saying you can jolt your way to book authorship. 

16. You try to make very complex biological innovations look a trillion times easier to arise than they would be, by calling them mere "variants" or examples of "diversification." 

The scam artists who act this way are like the guy in the visual below:

oversimplification

The Nobel Prize press release has an "Advanced Information" link which takes us to the document here. That document starts misinforming us right at its beginning, by repeating the groundless claim known as Anfinsen's Dogma. We read, "In 1972, Christian Anfinsen was awarded the Nobel Prize in Chemistry for the remarkable finding that protein 3D structures were basically encoded by the sequence of amino acids in the polypeptide chain." No, the three-dimensional structures of proteins are not " encoded by the sequence of amino acids in the polypeptide chain."  Anfinsen should not have been given the 1972 Nobel Prize in Chemistry, because he provided no robust evidence to support Anfinsen's Dogma, doing only some poorly replicated experiments with proteins of way-below-average complexity, with only about 127 amino acids (less than a third of the average number of amino acids in a human protein). See my post here for why Anfinsen's Dogma is not credible. An encyclopedia page says that "20 to 30 percent of polypeptide chains require the assistance of a chaperone for correct folding under normal growth conditions."  Such a figure helps discredit Anfinsen's Dogma, showing that a polypeptide sequence (a sequence of amino acids) is not sufficient to explain the 3D shapes of protein molecules. 

Alarm bells should go off in your head whenever you hear a scientist using the word "basically." It's very often a clue that what you are being told is not really true. 

It's amazing that the Nobel Prize organization was this week hailing the work that got Anfinsen the Nobel Prize in Chemistry in 1972, as if it were ignorant of the 2022 paper "The Anfinsen Dogma: Intriguing Details Sixty-Five Years Later," which tried to reproduce Anfinsen's experiments that got him that prize, but was unable to reproduce them. This epitomizes how today's Big Science machinery so often fails to pay attention to replication. That paper tells us about some of the false claims made about Anfinsen's work. We read, "The statement reported in many textbooks that Anfinsen removed denaturing and reducing agents by means of dialysis has no confirmation in the literature."  The authors state flatly that the main research result claimed by Anfinsen (a claim that got him the Nobel Prize) -- the result that "RNase refolds spontaneously into correct secondary and tertiary structures" is a result that "must be completely refused" (in other words, a result that is dead wrong). 

Never forget the important reality that false claims can arise in scientific literature, and may continue to be stated in scientific literature for decades or centuries after they have been discredited or disproven.

The Anfinsen story is a classic example of folly in modern science. A scientist (Anfinsen) did an experiment with a very small molecule (less than one third the average size of a human protein), and claimed that this showed that the 3D structure of most proteins is determined solely by their amino acid sequence (Anfinsen's Dogma, also called the thermodynamic hypothesis). This was rather like a man claiming that he built a house, and claiming that this shows that a single man can build an entire cathedral. Because scientists were eager to embrace the mechanistic dogma that protein shapes are determined solely by amino acid sequences, a Nobel Prize was soon awarded to Anfinsen, and innumerable science books and articles started claiming that his work proved his dogma (even though it made no sense to make such a claim based on Anfinsen's meager experimental results involving so small a molecule). There was little work done to try to do further experiments that might verify Anfinsen's claims, such as trying tests like his with average-sized proteins. Scientists had their triumphal story, and did not want to do further tests that might spoil that story. After fifty years of the science literature making the groundless claim that Anfinsen's experiments had proven his dogma, some diligent scientists finally tried in their 2022 paper to replicate his experiments, and found they could not even replicate them. So it was fifty years of science literature misinforming us on this important topic of whether the 3D structure of protein molecules is determined by their amino acid sequence, stretching right up to the present Nobel Prize announcement. The failure to replicate Anfinsen's results has been largely ignored, and the misleading claim about Anfinsen keeps being repeated. 

Postscript: A year 2026 paper makes it clear that contrary to boasts in the press, the AlphaFold2 software does not actually solve the protein folding problem, the problem of how protein molecules almost instantly acquire very complicated 3D shapes needed for their function. The year 2026 paper states, "The explanatory scientific understanding of the protein folding problem is thus
not directly advanced by AF2 [AlphaFold2]." Later the same paper says, "The protein folding problem remains unsolved." Instead, the AlphaFold2 software makes progress on a different problem, properly described as the protein structure prediction problem, which is the problem of predicting the 3D shape of a protein molecule from its amino acid sequence. Whenever one of the more complex types of protein molecules almost instantly takes the very complex 3D shape needed for its function, it is a miracle of warp-speed purposeful assembly.  

Below are two other recent relevant quotes:
  • "How proteins fold remains a central unsolved problem in biology. While the idea of a folding code embedded in the amino acid sequence was introduced more than 6 decades ago, this code remains undefined. While we now have powerful predictive tools to predict the final native structure of proteins, we still lack a predictive framework for how [amino acid] sequences dictate folding pathways....Almost seven decades of experimental and theoretical inquiry have not revealed a 'folding code' at the amino acid level, i.e., rules endowed with the generality and predictive power required to connect amino acid sequence to how the protein attains its structure....Machine learning made it possible to identify weak correlations to generate the structure most likely to correspond to a sequence. This tour-de-force effort has largely solved the problem of predicting protein structure from sequence...but with a key limitation: the algorithm that predicts the structure is a complex black box of pattern recognition that casts little light on the process of folding and that tells us nothing about why only some sequences fold, or how physics and evolution are coupled." -- Five scientists in the year 2025 (link). 
  • "The real challenge—that remains unanswered after more than 50 years of research in the structural biology field—is understanding the mechanisms that lead proteins to fold into their native state. The reason for these difficulties is that the central question of the protein folding problem remains unresolved: specifically, how a sequence of amino acids encodes its folding pathways." -- Scientist Jorge A. Vila, 2025 (link).
The 2022 paper "Is Protein Folding a Thermodynamically Unfavorable, Active, Energy-Dependent Process?" sharply criticizes the thermodynamic hypothesis as an explanation for protein folding (a hypothesis pretty much the same as Anfinsen's Dogma). Below are some excerpts:

"The prevailing current view of protein folding is the thermodynamic hypothesis, under which the native folded conformation of a protein corresponds to the global minimum of Gibbs free energy G. We question this concept and show that the empirical evidence behind the thermodynamic hypothesis of folding is far from strong....There are several reasons why, in our view, the experimental evidence in support of the thermodynamic hypothesis of folding is far less compelling than it is usually perceived to be. In particular, only in very few folding experiments, the completeness of protein unfolding at the start of the experiment has been convincingly demonstrated. Although it is often claimed that proteins in such experiments were completely denatured, a closer examination shows that typically this is an assumption rather than an experimentally validated observation....We performed a literature search on the proteins that, in the last 50 years or so, were produced by complete chemical synthesis and refolded to the biologically active form. In the set of about 60 unique proteins (not counting mutants and variants) studied in these experiments, only two were longer than 200 aa [amino acids]; the mean protein length in this group was 94 amino acids, which is at least 3–5-fold less than the proteome-wide mean lengths in Archaea, Bacteria, and Eukarya (Table 1).....The data on the ability of proteins to refold from a completely denatured state is fragmentary and comes from small, heavily biased datasets. What causes this scarcity of data, especially for larger proteins? The principal cause appears to be quite simple: most proteins actually cannot refold once completely unfolded, but the negative results of this type, that is, failed attempts to refold proteins, are almost never published....A survey of the available data on spontaneous protein folding and refolding, in particular, for chemically synthesized and over-expressed proteins, presents little evidence in support of this thermodynamic hypothesis of folding. On the contrary, the majority of proteins appear not to be spontaneously foldable and are only marginally stable, at best." 

Tuesday, August 28, 2018

“Nobel's Razor” as a Rule of Thumb for Judging Science Claims

There are quite a few problems involving scientific research.  One problem is what is called medical ghost-writing, in which pharmaceutical companies will hire people to write up a study, and then recruit doctors to sign their names to the study, even if the doctors had little or no involvement in the study.  A wikipedia.org article on the topic says, "A 2009 New York Times article estimated that 11% of New England Journal of Medicine articles, 8% of JAMA, Lancet and PLoS Medicine articles, 5% of Annals of Internal Medicine articles and 2% of Nature Medicine were ghost written." 

Another problem is that press releases issued by universities, colleges, and various other institutions are frequently announcing scientific research in ways that include exaggerations, unwarranted claims or outright falsehoods. A scientific paper reached the following conclusions, indicating a huge hype and exaggeration crisis both among the authors of scientific papers and the media that reports on such papers:

Thirty-four percent of academic studies and 48% of media articles used language that reviewers considered too strong for their strength of causal inference....Fifty-eight percent of media articles were found to have inaccurately reported the question, results, intervention, or population of the academic study.

Another huge problem involves what is called the Replication Crisis. This is the fact that a very large fraction of scientific research results are never replicated. The problem was highlighted in a widely cited 2005 paper by John Ioannidis entitled, “Why Most Published Research Studies Are False.” 


Although physics is often regarded as a more “hard” and reliable form of science, there is still tons of wobbly speculation in the world of cosmology and theoretical physics. An example was the recent paper by three cosmologists claiming to have found evidence of something called “Hawking points” in the cosmic background radiation, which they interpreted as supporting their cyclical theory of the universe that almost no one else but them believes in. A cosmologist studying the cosmic background radiation for the faintest traces of something he wants to believe in may be compared to someone who checks his toast with a magnifying glass every day, and eventually reports something that he thinks looks a little like the face of Jesus. 



What rule can you use to distinguish between solid well-established science on the one hand and hype and speculation on the other hand? Can we simply use the rule of “trust something if you read it one of the top science publications like Science or Nature or Scientific American, but maybe be skeptical if you read about it in a publication or web site of lesser stature?” No, this principle does not at all work. Nowadays the most respected science publications often contain quite a few misleading headlines proclaiming as discoveries dubious research results that do not at all qualify as discoveries. For example, in the leading science journals, we very often find neuroscience experiments done with too few test animals, such as only 7 (15 test animals per study group is the minimum for a moderately reliable result). 

It is also not at all true that you can rely on the truth of a science headline that you read in the New York Times, since the writers at this publication almost never show signs of critically scrutinizing dubious claims by scientists and university press releases. Nor is it true that you can count on a research result that is directly stated in the title of a scientific paper. Scientists frequently give their papers dubious titles announcing results they have not proven. Nor is it true that you can count on a result announced by a distinguished college or university such as MIT. Nowadays the press offices of colleges and universities are notorious for the dubious hype of their press releases, and this problem is not at all confined to less prestigious academic institutions. In this post and in the series of posts I have labeled “overblown hype” you will find many examples to back up the claims I have made in this paragraph.

Can we perhaps distinguish between solid science and unproven speculation by following the principle “trust in things that most scientists believe”? No, because of some of the reasons discussed in this post and this post. Unfortunately, communities of experts can become ideological enclaves, and in such enclaves it is all too easy for a majority to reach an opinion that is not well established, once that opinion becomes “all the rage” in that community.

There is actually no reliable process in place for determining what doctrines are believed in by a majority of scientists. It is quite unreliable to try to gauge the opinion of scientists by analyzing scientific papers, because a scientific paper may repeat standard shibboleths to increase its chance of getting published, and it's hard to tell how much the authors believe in such customary utterances. An opinion poll of scientists is a more reliable way of measuring their opinions. But most such polls suffer from defects, such as offering too little choice, and not offering an option of “I don't know” or “I'm uncertain about this.” Some opinion polls of scientists also require them to publicly assert their opinions to their superiors, which is not a reliable way of measuring private opinion.

The most reliable way to measure opinions on a topic is a secret ballot. But there is no process in place for measuring the opinions of scientists through a secret ballot. Furthermore, common opinions regarding a consensus of scientists are based entirely on impressions got from US and European scientists. A true global measure of scientific opinion (including all the scientists in India and China) might have many surprises. In light of all these difficulties, it is not a particularly reliable or useful guideline to try to distinguish between strong science and less reliable science claims by using common opinions about which things most scientists believe in or don't believe in.

But I can think of one simple “rule of thumb” principle that is pretty good for distinguishing between solid topnotch science on the one hand and weaker claims on the other hand. The principle is what I call “Nobel's Razor.” This is simply the principle: if some science claim has won a Nobel Prize, regard it as topnotch “Grade A” science, but if no one has ever won a Nobel Prize for establishing the claim, regard it as something less than topnotch, well-established science.

The Nobel Prize committees award annual prizes in physics, chemistry, and medicine and physiology. Over the years, the Nobel Prize committees have been extremely good about awarding prizes only to very solid scientific results (with a handful of exceptions). The Nobel Prize committees “wait for the dust to settle,” almost always avoiding giving a prize to any research result until its solidity has been established over a period of several years. For example, Penzias and Wilson discovered the cosmic background radiation in the mid-1960's, but had to wait until 1978 before getting their richly deserved Nobel Prize in Physics.

There are some interesting examples of things that are claimed to be examples of established science, but which have never won any Nobel prizes. One such example is that no one has ever won a Nobel prize for any work establishing Darwin's theory of evolution by natural selection, nor any work helping to establish Neo-Darwinism. This is a great embarrassment to Darwin enthusiasts. It is true that Darwin died before the Nobel prizes were established. But we may ask: if Darwinism is really a topnotch scientific result, why has there been no Nobel Prize for any type of research work done to establish such a theory?

Other interesting examples of widely-repeated claims by scientists that have no Nobel prizes in their favor are the opinion that the human mind is a product of the brain, and the opinion that human memories are stored in our brains. No one has ever won a Nobel prize for research helping to establish such ideas. The link here shows the scientists who won the Nobel prize in medicine and physiology, and what research they did to win the prize. None of the prizes are for work involving memory, consciousness, or the relationship of the brain and the mind.

You can see here a list of all people who have won Nobel prizes in physics. No one has ever won for any research on dark matter, dark energy, the multiverse, or the “cosmic inflation” claim that the universe underwent an instant of exponential expansion (not to be confused with the more general theory of the Big Bang).

Do all these omissions mean that this “Nobel's Razor” principle is not a good way of distinguishing between topnotch well-proven science on the one hand and lesser claims that are not very well proven? No, such omissions help to establish the solidity of such a “Nobel's Razor” rule-of-thumb, and to help show that the Nobel committees have been excellent about only giving awards to results that are well established by observations or experiments. When people press you to believe in some science claim that is not topnotch science demonstrated by observations or experiments,  you can ask such persons, "Why should I believe in that when no one ever won a Nobel Prize for establishing it?" Such a question will not be an effective reply to assertions about global warming, seeing that the IPCC committee was awarded a Nobel Peace Prize. 

Postscript: Despite it being a good "rule of thumb" to trust science that got a Nobel Prize, in some cases the Nobel Prize committee awards science Nobel Prizes it should not have awarded. A notable case (the case of Christian Anfinsen) is discussed in my post here, which notes misstatements in one year's press release for a Nobel Prize.