Catalogue
Peer-reviewed publications
Works published in peer-reviewed scientific journals, with indexing databases listed. Every entry carries a DOI and/or eLibrary ID for independent verification.
| Year | Publication | Level | DOI / eLib |
|---|---|---|---|
| 2026 | Application of Ring-Polyhedral Models of Amino Acids for Protein Structure Modeling Использование кольцегранных моделей аминокислот для моделирования структуры белков Kozhevnikov, D., Kushelev, A. · Molekulyarnaya Meditsina, vol. 24, no. 2, pp. 47–51 This paper addresses the theoretical prediction of protein spatial structure using ring-polyhedral models of amino acids. The shapes of serine and leucine are derived from the model, along with the geometry of the α-helix, in agreement with the established understanding of protein spatial organisation. The method enables prediction of protein spatial structure from a nucleotide coding sequence (CDS) without X-ray crystallography or spectroscopy. *(Draft EN adaptation — pending author review.)* РИНЦ · ВАК · Chemical Abstracts | LEVEL A — Experimental data | eLib zrikgz |
| 2025 | Modelling the Electron-Surface Shapes of Chemical Compounds with Various Covalent Bonds as Polyhedra Composed of Rings (Ring-Polyhedra) Моделирование форм электронных поверхностей химических соединений с различными ковалентными связями в виде полиэдров из колец (кольцегранников) Kozhevnikov, D., Kushelev, A. · Meditsina. Sotsiologiya. Filosofiya. Prikladnye Issledovaniya, no. 2, pp. 151–156 The paper provides a detailed account of the electronic structure and the algorithm for modelling molecules with covalent bonds as polyhedra composed of rings, illustrated on glycine (C₂H₅NO₂). Each ring corresponds numerically to the number of electrons on the outer atomic shell. *(Draft EN adaptation — pending author review.)* РИНЦ | LEVEL C — Hypothesis that motivated experiment | |
| 2025 | Determination of Protein Secondary Structure Using the Genetic Code Определение вторичной структуры белка с использованием генетического кода Kushelev, A. · Meditsina. Sotsiologiya. Filosofiya. Prikladnye Issledovaniya, no. 1, pp. 70–78 This paper describes an algorithm for predicting protein secondary structure from the nucleotide coding sequence based on a correspondence between the third nucleotide of the codon and the secondary-structure type. The approach forms the computational basis of the PicoFold web service. *(Draft EN adaptation — pending author review.)* РИНЦ | LEVEL A — Experimental data |
RSCI was excluded from Web of Science by Clarivate in 2022 due to sanctions. We do not list WoS as an indexing source, even where the journal still declares it on its own pages.