|
ИСТИНА |
Войти в систему Регистрация |
ИСТИНА ЦЭМИ РАН |
||
How Homologs Can Help to Predict Protein Folds Even Though They Cannot Be Predicted for Individual Sequencesстатья
Информация о цитировании статьи получена из
Web of Science,
Scopus
Статья опубликована в журнале из списка Web of Science и/или Scopus
Дата последнего поиска статьи во внешних источниках: 15 июля 2021 г.
- Авторы: Badretdinov Azat Ya, Finkelstein Alexei V.
- Журнал: Journal of Computational Biology
- Том: 5
- Номер: 3
- Год издания: 1998
- Издательство: Mary Ann Liebert Inc.
- Местоположение издательства: United States
- Первая страница: 369
- Последняя страница: 376
- DOI: 10.1089/cmb.1998.5.369
- Аннотация: At present, one cannot predict the 3D structure of a protein directly from its sequence alone mainly because of errors in the energy estimates. However, a recently developed simple analytical theory (Finkelstein, 1998) shows that using a set of homologs (i.e., chains with numerous amino acid mutations but with equal 3D folds) one can average the interaction energies over the homologs and predict their common 3D fold even when predictions for individual sequences are wrong because the energy parameters are known only approximately. In this work we verify this theoretical conclusion by computer simulations performed with simplified models of protein chains.
- Добавил в систему: Финкельштейн Алексей Витальевич