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Reference details

Author(s) Year Title Reference View/Download

Greg Warr , Les Hatton

2024l

Reproducibility script for Multiplicity paper

WEBREP_WarrHatton_Multiplicity_Aug2024.zip

Synopsis and invited feedback

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Synopsis Invited Feedback Importance (/10, author rated :-) )
Here we test whether multiplicity, an emergent global property of protein evo- lution, can be predicted by a neutral and purely probabilistic theory. CoHSI (Con- servation of Hartley-Shannon Information) embeds information theory in a statis- tical mechanical framework with the minimal assumption that every microstate is equiprobable, in effect aggregating all factors contributing to evolution (e.g. muta- tion, drift, selection, speciation, horizontal transfer of protein-encoding genes, extinc- tion etc.) to generate predictions of the global equilibrium state (the macrostate) of molecular evolution. The null prediction of CoHSI theory is a heretofore unknown global pattern of protein multiplicity that is a distinctive variant of the Zipfian dis- tribution. We show that the predictions of CoHSI theory are borne out to a high degree of statistical robustness for the totality of known proteins. Over 13 million multiplicious proteins exist, ranging from the highly conserved (histones, components of photosystems and the electron transport chain) to the rapidly evolving viral pro- teins that are involved in infection and adaptation to novel host species. The proteins of bacteria, archaea, eukaryotes and viruses, considered separately, also show with strong statistical support the predicted CoHSI equilibrium distribution.None yet9

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