Literature DB >> 3271433

Protein structure and neutral theory of evolution.

O B Ptitsyn1, M V Volkenstein.   

Abstract

The neutral theory of evolution is extended to the origin of protein molecules. Arguments are presented which suggest that the amino acid sequences of many globular proteins mainly represent "memorized" random sequences while biological evolution reduces to the "editing" these random sequences. Physical requirements for a functional globular protein are formulated and it is shown that many of these requirement do not involve strategical selection of amino acid sequences during biological evolution but are inherent also for typical random sequences. In particular, it is shown that random sequences of polar and amino acid residues can form alpha-helices and beta-strand with lengths and arrangement along the chain similar to those in real globular proteins. These alpha- and beta-regions in random sequences can form three-dimensional folding patterns also similar to those in proteins. The arguments are presented suggesting that even the tight packing of side groups inside protein core do not require very strong biological selection of amino acid sequences either. Thus many structural features of real proteins can exist also in random sequences and the biological selection is needed mainly for the creation of active site of protein and for their stability under physiological conditions.

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Year:  1986        PMID: 3271433     DOI: 10.1080/07391102.1986.10507651

Source DB:  PubMed          Journal:  J Biomol Struct Dyn        ISSN: 0739-1102


  9 in total

1.  Amino acid alphabet size in protein evolution experiments: better to search a small library thoroughly or a large library sparsely?

Authors:  Enrique Muñoz; Michael W Deem
Journal:  Protein Eng Des Sel       Date:  2008-03-28       Impact factor: 1.650

2.  Globally, unrelated protein sequences appear random.

Authors:  Daniel T Lavelle; William R Pearson
Journal:  Bioinformatics       Date:  2009-11-30       Impact factor: 6.937

3.  Statistical mechanics of simple models of protein folding and design.

Authors:  V S Pande; A Y Grosberg; T Tanaka
Journal:  Biophys J       Date:  1997-12       Impact factor: 4.033

4.  Alignment of 700 globin sequences: extent of amino acid substitution and its correlation with variation in volume.

Authors:  O H Kapp; L Moens; J Vanfleteren; C N Trotman; T Suzuki; S N Vinogradov
Journal:  Protein Sci       Date:  1995-10       Impact factor: 6.725

5.  Nonrandomness in protein sequences: evidence for a physically driven stage of evolution?

Authors:  V S Pande; A Y Grosberg; T Tanaka
Journal:  Proc Natl Acad Sci U S A       Date:  1994-12-20       Impact factor: 11.205

6.  An analysis of single amino acid repeats as use case for application specific background models.

Authors:  Paweł P Łabaj; Peter Sykacek; David P Kreil
Journal:  BMC Bioinformatics       Date:  2011-05-19       Impact factor: 3.169

7.  Do natural proteins differ from random sequences polypeptides? Natural vs. random proteins classification using an evolutionary neural network.

Authors:  Davide De Lucrezia; Debora Slanzi; Irene Poli; Fabio Polticelli; Giovanni Minervini
Journal:  PLoS One       Date:  2012-05-16       Impact factor: 3.240

8.  Under-folded proteins: Conformational ensembles and their roles in protein folding, function, and pathogenesis.

Authors:  Vladimir N Uversky
Journal:  Biopolymers       Date:  2013-11       Impact factor: 2.505

9.  Entropy Analysis of Protein Sequences Reveals a Hierarchical Organization.

Authors:  Anastasia A Anashkina; Irina Yu Petrushanko; Rustam H Ziganshin; Yuriy L Orlov; Alexei N Nekrasov
Journal:  Entropy (Basel)       Date:  2021-12-07       Impact factor: 2.524

  9 in total

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