A. I. Mikhalskii, J. A. Novoseltseva, A. A. Anashkina, A. N. Nekrasov, “Probabilistic assessment of a pentapeptide composition influence on its stability”, Avtomat. i Telemekh., 2023, Issue 12,Pages <nobr>38

Topical issue

Probabilistic assessment of a pentapeptide composition influence on its stability

A. I. Mikhalskii^a, J. A. Novoseltseva^a, A. A. Anashkina^b, A. N. Nekrasov^c

^a V. A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, Moscow
^b Engelhardt Institute of Molecular Biology, Russian Academy of Sciences
^c M. M. Shemyakin and Yu. A. Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, Moscow

Abstract: The influence of the arrangement of amino acid residues in a pentapeptide on its stability is being studied. A forecast of pentapeptide stability is made using the gradient boosting method, which allows one to evaluate the influence of each feature on the stability of the pentapeptide. Combinations of amino acid arrangements in the pentapeptide have been identified that make a significant contribution to its stability. It has been shown that the use of such combinations reduces the amount of data required to obtain a reliable prediction of pentapeptide stability.

Keywords: amino acid residue, pentapeptide, gradient boosting, prediction, information sufficiency.

Presented by the member of Editorial Board: A. A. Galyaev

Received: 31.05.2023
Revised: 12.09.2023
Accepted: 30.09.2023

DOI: 10.31857/S0005231023120048