Literature DB >> 30878497

A model of molecular vector machine of proteins.

Vladimir Karasev1.   

Abstract

Based on the analysis of NiH⋯Oi-4C bond region of the proteins pentafragments using the quantum chemistry representations, a group of 20 vectors of action has been isolated. These vectors of action are reconstructed by a group of 20 side chains of amino acids being the irreducible representations of vectors. As a result, a model of molecular vector machine of proteins (MVM) has been proposed. This machine includes proteins pentafragments, a system of 20 vectors inside dodecahedron coming out of the Oi-4 atom as from the center and tetrahedral αi-carbon atom with the side chains of amino acids that change as the polypeptide chain grows. A model with the structured canonical set of amino acids based on the principles of antisymmetry was transferred onto the dodecahedron as an MVM element (Karasev et al., 2005; Karasev et al., 2007). The perspective of MVM application for predicting and designing the secondary structure of proteins has been discussed.
Copyright © 2019 The Author. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Amino acids canonical set; Dodecahedron; Irreducible representations; Proteins pentafragments; Vectors of action

Mesh:

Substances:

Year:  2019        PMID: 30878497     DOI: 10.1016/j.biosystems.2019.02.001

Source DB:  PubMed          Journal:  Biosystems        ISSN: 0303-2647            Impact factor:   1.973


  2 in total

1.  Data on the application of the molecular vector machine model: A database of protein pentafragments and computer software for predicting and designing secondary protein structures.

Authors:  Vladimir Karasev
Journal:  Data Brief       Date:  2019-11-19

2.  Study of the Fabrication Technology of Hybrid Microfluidic Biochips for Label-Free Detection of Proteins.

Authors:  Nikita Sitkov; Tatiana Zimina; Alexey Kolobov; Evgeny Sevostyanov; Valentina Trushlyakova; Viktor Luchinin; Alexander Krasichkov; Oleg Markelov; Michael Galagudza; Dmitry Kaplun
Journal:  Micromachines (Basel)       Date:  2021-12-24       Impact factor: 2.891

  2 in total

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