ssmuБюллетень сибирской медициныBulletin of Siberian Medicine1682-03631819-3684Siberian State Medical University, the Ministry of Healthcare of the Russian Federation10.20538/1682-0363-2025-4-194-203ssmu-6282Research ArticleОБЗОРЫ И ЛЕКЦИИREVIEW AND LECTURESВозможности анализа белков в биоинформационной системе NCBIProtein analysis capabilities in the NCBI bioinformation systemhttps://orcid.org/0000-0001-6077-0347ЧасовскихН. Ю.ChasovskikhN. Yu.

Часовских Наталия Юрьевна – д-р мед. наук, доцент, зав. кафедрой медицинской и биологической кибернетики

634050, г. Томск, Московский тракт, 2

2 Moskovsky trakt, 634050 Tomsk

chasovskih.ny@ssmu.ruСибирский государственный медицинский университет (СибГМУ)РоссияSiberian State Medical University (SibSMU)Russian Federation202514012026244194203Copyright © Часовских Н.Ю., 20252025Часовских Н.Ю.Chasovskikh N.Y.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://bulletin.ssmu.ru/jour/article/view/6282

Цель – рассмотреть и обобщить информацию об особенностях хранения данных о белках, а также о возможностях их анализа с помощью инструментов NCBI (National Center for Biotechnology Information, Национальный центр биотехнологической информации).

В лекции обобщены данные по существующим хранилищам белковых последовательностей и структур, проанализированы возможности биоинформационных инструментов для исследования белков на платформе NCBI. Первичные базы данных содержат информацию о белках (записи), полученную при проведении экспериментальных исследований. Помимо этого представлены базы с дополнительной информацией, добавленной кураторами после аналитики. Биоинформационный анализ белковых последовательностей и структур с помощью представленных в лекции инструментов позволяет выявить особенности филогенетического развития, спрогнозировать функции и структуры. Таким образом, извлечение обширной информации и возможность ее анализа с помощью специализированных сервисов помогает пролить свет при исследовании in silico на необнаруженные экспериментально характеристики белков, получить новые знания, служащие основой для дальнейших теоретических и экспериментальных исследований.

Aim. To review and summarize information about the features of protein data storage, as well as the possibilities for their analysis using NCBI tools.

The lecture summarizes data on existing repositories of protein sequences and structures, and analyzes the capabilities of bioinformatics tools for protein research on the NCBI platform (National Center for Biotechnology Information). The primary databases contain information about proteins (records) obtained through experimental studies; in addition, databases with supplementary information added by curators after analysis are also presented. Furthermore, bioinformatic analysis of protein sequences and structures using the tools discussed in this lecture enables the identification of phylogenetic features, as well as the prediction of functions and structures. Thus, the extraction of extensive information and its analysis through specialized services facilitate insights into in silico research of experimentally undetected protein characteristics, providing new knowledge that forms the basis for further investigations.

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The authors declare that there are no conflicts of interest present.