Biochemist's Profile
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Topics I've Started
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Statistical/probability issues in speciation
17 February 2006 - 07:37 AM
Per a suggestion in another thread, I am launching a discussion on the probabilities associated with mutation and speciation.
I built a simple model in an earlier thread here:
http://hypography.co...ibrium+theories
And I will excerpt part of that post for ease of reading:
Biochemist, from"Punctuated Equilibria Theories", post #44 said:
Let me start by saying that we understand a relatively small portion of intracellular biochemistry. Like most sciences, the new things that we learn in biological sciences always raise more questions than they answer. This is dissimilar to physics, where leading physicists will actually openly discuss having a "theory of everything" and some will contend that string theory (even though still open to evaluation) is that theory.
There is no such position in biochemistry. Every additional material discovery surfaces other issues that bump up intracellular complexity by another order of magnitude. With that preamble, let me bore you with 12 steps of biochem 101 for a second, and then pull out some of the anomalies.
- DNA is a sequence of four nucleotides (guanine, cytosine, adenine, thymine)
- Three nucleotides in a sequence form a codon. Each of the 64 possible codons "codes" for one of 20 amino acids.
- There are an infinite number of amino acids possible in chemistry. Only 20 are used in living systems- pretty much the same 20 irrespective of the life system. Amino acid anomalies are extremely rare.
- DNA only codes for proteins and RNA. Proteins are the little machines to do things. RNA pretty much only helps to "transcribe" the DNA to make the proteins. Everything that is done in the cell is either done by a protein, or done by something built by a protein.
- DNA is hence a little machine that builds machines (ribosomes) that build machines (proteins) that build machines (everything else). Since DNA builds itself, you could add at least one more generation on this sequence.
- A typical protein is about 300-400 amino acids. They range from probably about 50 to over 10,000, but 300 is a good average. The set of codons that code for a protein is a gene. Ergo, a typical gene has 300x3 DNA bases in it, or about a thousand.
- Most proteins are highly specific. In most proteins (that have been tested) most individual amino acid residues cannot be changed at all or the protein stops functioning. Most proteins have exactly one substrate, exactly one output, and several speed modulators that control the rate at which the protein functions. Proteins that are acting in this fashion are called enzymes. This is differentiated from proteins that are part of our mechanical structure.
- Proteins are manufactured in a single-thread long string, but this 300 amino acid residue string "folds up" into a ball. It has to be in exactly one ball shape. Most proteins (all?) could fold up into different ball shapes which would be dysfunctional. They usually don't because other proteins ("chaperone proteins" ) manage the fold-up of the new protein to keep it the correct shape. Some diseases are thought to be errors in fold-up (e.g.,Alzheimers, cystic fibrosis) more about that issue at:http://www.faseb.org...ld/protein.html
- Human DNA is about 3.6 billion nucleotide bases, but there are thought to be only 30,000-40,000 functional genes. Even if there were 100,000 functional genes, that would account for 100 million bases. The other 3.5 billion are just standing by. That is, the ratio of stand-by DNA to functional DNA is probably higher than 40:1. More on that here:http://www.biology.e...AR/gen-prot.htm
- Most proteins do not act alone. They act in a defined sequence of actions. Glycolysis, the Krebs cycle, the urea cycle, beta oxidation of fats: All of these are multi enzyme processes where the output of one enzyme is the input to the next. I will use the Krebs cycle as an 8-enzyme example (just because it it so famous). Picture here:http://www.bmb.leeds.ac.uk/illingwor...abol/krebs.htm
- Most proteins systems need to be physically associated with each other to function. Hence, there are specific transport systems that transport proteins to their work site within the cell. These transport systems need to recognize the protein and "know" its appropriate location.
- Enzymes occasionally break, or need to fluctuate in quantity. When they do, the DNA is triggered to produce more of the enzyme. A typical human chromosome is about 78 million bases, and is folded at least ten times (into at least a thousand parallel threads of DNA). The DNA is triggered to "unfurl" just a small portion of base pairs, "unzip", and let the ribosomes zip along it the make a new protein. The new protein is then chaperoned into a ball, transported into location, and usually inserted into a specific location in the target machinery.
Granted, the math I will present is related mostly to the human genome. Frankly, at the level of detail we are talking about, it would apply pretty well to bacteria as well. Bacteria don't have genomes quite so big, and have substantially less non-coding DNA (maybe 10% versus human 98%) but the numbers are still impressive.
- To get a functional protein by mutation: you would need at least 200 specific amino acids in specific sequence out of 300 in the protein (it is actually more like 260 on average, but I am making it simpler). This would be randomly 1 in 20^200, or about 1 in 10^260. Heck. To be conservative, let's make it a couple of trillion trillion trillion trillion times more likely, and make it 1 in 10^200.
- Proteins do not work alone, so figuring 5 enzymes in a sequence (being conservative, typical is 6 to 8), this give us 1in 10^1000.
- Keep in mind that there are thousands of separate interdependent enzyme systems and structural construction systems. I am not including the calculations for other logically required systems. Any additional required system would be a multiplier (yes, that would be 1 in 10^1,000,000). Sheesh.
- I have no idea how to calculate the odds of a chaperone protein, since we would have to know the odds of a specific protein folding incorrectly without one. Let's give this one a pass.
- I have no idea how to calculate the odds of recognition in the protein transport systems. We would have to know the requirment for transport, versus the degree of activity if the enzyme system was floating freely. Heck. Let's give this a pass too.
- I have no idea how to calcualte the feedback loop for production of additional protein from DNA, but this one probably dwarfs all of the previous numbers. Remember that we have to expose the specific thread of DNA to let the ribosomes zip along it. The DNA unfurls on signal, and this means that one single loop of perhaps 1000-2000 codons out of maybe 70-80 million bases in a chromosome is exposed. I didn't mention that related enzymes are often associated in adjacent genes (called an "operon") and are transcribed as a set, rather than as a single enzyme. I already accidentally gave us a pass for the probability of 5 or 6 adjacent genes of 1000 codons being arranged together on a string of 80 million bases (about 25 million codons). But the real problem is that ANY mutation to the chromosome would tend to mess up this complex unfurling arrangement. So we have to allow for not just the 1 in 10^1000 problem of a mutation to create the enzyme system, but we have to make sure any of the series of mutations to establish the enzyme system does not mess up the feedback unfurling of several thousand OTHER genes on the same chromosome. No guess for the odds here.
- We have not yet discussed the "lysosome problem". Cells are remarkably efficient scavengers, in that they destroy useless junk routinely. This means that the lysosomes (or other scavenger pathways in lower lifeforms) recognize foreign from non-foreign chemicals. This means that a new random protein would likely get scavenged. If it didn't, the cell would be swamped in non-functional proteins. I can't find any information on the efficiency of the cell scavenger process, but certainly a minority of proteins in the cell is non-functional. Otherwise, an organism would spend most of its energy (and food consumption) on production of non-functional material. Clearly not the case. Even if we assume that every 1 in 10^6 mutations was functional (a ludicrously positive assumption) we have to assume that lysosomes destroy the vast majority of these. The lysosome has to recognize these as non-foreign to let them remain. For each enzyme in the sequence. This would be mandatory, or the house of cards falls apart.
- I brought up bacteria above, and that they have perhaps 10% non-functional DNA. Using them as examples of prokaryotes, it sure is odd that these archaic, simplistic systems are so efficient. Is it odd that the progenitors are so genomically efficient and yet the sophisticated, higher systems are not? If we have systems to reverse mutations in DNA (we do) and to eradicate foreign proteins (we do), why don't we have systems to eradicate nonfuncitonal DNA? My suggestion is that we probably do. I suggest this "non-coding" DNA is not nonfunctional. It is required.
Let me offer a constrained question: Can anyone offer a reasonable mathematical model to explain how we could obtain a new enzyme system (through mutation) in a higher life form (like a mammal) in as little as 300 million years? - DNA is a sequence of four nucleotides (guanine, cytosine, adenine, thymine)
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Apparent contradictions in the Bible
01 July 2005 - 09:44 AM
Continuing from another thread-
Several of you have offered that the Bible is rife with contradictions. I hear this a lot, and I am not quite sure what folks mean when they say it. There are indeed a number of elements of the Bible that are confusing, but I am only aware of a very small number of actual contradictions. Most are considered textual errors in transcription form the original manuscripts.
Would anyone care to offer a contradiction (or an apparent contradiction) that we can talk about? My intent is not to be defensive about this. I think this could be a pretty interesting discussion. -
Evidence for speciation via mutation?
18 June 2005 - 09:46 AM
Continuing a portion of the discussion from the punctuated equilibrium thread:
The direct evidence for speciation by mutation is thin. There is a lot of indirect evidence, such as:
1) Mutations that cause damage certainly occur, and can be caused in the laboratory.
2) Some mutations exist that happen to be "beneficial" occur, but none have been demonstrated to increase the quality or quantity of information in a gene; they merely show that damage to a gene may cause a slight shift in function that might be useful. (e.g., the mutation of the gene that digests ribulose). But serial damage would be unlikely to create further incremental benefit.
3) Many mechanisms for modification to the genome are known (e.g., chromosome duplication, transposons, increased genomic alteration in the pericentromeric region of the chromosome, etc), but to my knowledge, no one has demonstrated that these are actually mutative mechanisms, versus a life-supporting genomic mechanism.
Can anyone surface direct evidence of mutation driving speciation, or even mutation increasing information content in a gene? -
Supply side economics and tax policy
15 June 2005 - 08:58 AM
I noted in recent media reports that the federal deficit for the current fiscal year is now projected at about $350 million, down from the previously estimated $420 million.
This is one of many cases where the standard line of media pundits (that lowering tax rates "costs" money) is again refuted. Every major federal tax reduction in the US since 1960 (Kennedy, Reagan, Bush) has resulted in a revenue increase to the federal government.
It is not clear why commentators so frequently equate federal tax rate reduction with a decrease in federal revenue (and vice versa) when the evidence is so strong.
Thoughts anyone? -
Controlling rising health care costs
17 May 2005 - 05:04 AM
Hypothesis A: American health care costs are high because individuals overutilize care.
Hypothesis B: Individual overutilize because:1) Consumers do not generally pay for the vast majority of their care costHypothesis C:
2) Consumers that do pay for their care2a) do not know what they are buying (there are no understandable product characteristics) and
2b) cannot buy products that are priced in advance1) Hypothesis B1 can be addressed by getting consumers to buy high-deductible/high coinsurance health benefits, andThoughts?
2) B2a and B2b can be substantially addressed by arranging for care providers to price understandable bundles of their services in advance
(non-US note) I know that the payment mechanisms are different in the US than in most non-US countries, but the care delivery cost problems are similar.

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