Informational Way to Protein Alphabet: Entropic Classification of Amino Acids

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dc.creatorGorban, A. N.
dc.creatorKudryashev, M.
dc.creatorPopova, T.
dc.date2005-01-13
dc.date2007-11-05
dc.date.accessioned2026-07-07T08:40:21Z
dc.date.available2026-07-07T08:40:21Z
dc.descriptionWhat are proteins made from, as the working parts of the living cells protein machines? To answer this question, we need a technology to disassemble proteins onto elementary func-tional details and to prepare lumped description of such details. This lumped description might have a multiple material realization (in amino acids). Our hypothesis is that informational approach to this problem is possible. We propose a way of hierarchical classification that makes the primary structure of protein maximally non-random. The first steps of the suggested research program are realized: the method and the analysis of optimal informational protein binary alphabet. The general method is used to answer several specific questions, for example: (i) Is there a syntactic difference between Globular and Membrane proteins? (ii) Are proteins random sequences of amino acids (a long discussion)? For these questions, the answers are as follows: (i) There exists significant syntactic difference between Globular and Membrane proteins, and this difference is described; (ii) Amino acid sequences in proteins are definitely not random.
dc.description13 p. 6 Tabs, 3 Figs, Reduced version with additional study of membrane and globular proteins
dc.identifierhttps://arxiv.org/abs/q-bio/0501019
dc.identifierhttp://arxiv.org/abs/q-bio/0501019
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/141346
dc.subjectBiomolecules
dc.subjectBiological Physics
dc.subjectQuantitative Methods
dc.titleInformational Way to Protein Alphabet: Entropic Classification of Amino Acids
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