2005/01/13 by A. N. Gorban, Alexander N. Gorban, M. Kudryashev +6
Biochemistry, Genetics and Molecular Biology · Physics and Astronomy · #Machine Learning in Bioinformatics #Protein Structure and Dynamics #RNA and protein synthesis mechanisms #physics.bio-ph #q-bio.BM #q-bio.QM
paper · pdf · doi:10.48550/arxiv.q-bio/0501019
13 p. 6 Tabs, 3 Figs, Reduced version with additional study of membrane and globular proteins
arxiv created 2007/11/05 · arxiv updated 2009/12/01
What 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.