КФУ. Карточка публикации. Statistical prediction of protein structural, localization and functional properties by the analysis of its fragment mass distributions after proteolytic cleavage

RUS

- EN
- 中文
- ES

STATISTICAL PREDICTION OF PROTEIN STRUCTURAL, LOCALIZATION AND FUNCTIONAL PROPERTIES BY THE ANALYSIS OF ITS FRAGMENT MASS DISTRIBUTIONS AFTER PROTEOLYTIC CLEAVAGE

Форма представления

Статьи в зарубежных журналах и сборниках

Год публикации

2016

Язык

английский

Авторы, сотрудники КФУ

Каюмов Айрат Рашитович, автор

Другие авторы

Bunde Armin -, автор

Богачев Михаил Игоревич, автор

Маркелов Олег А., автор

Библиографическое описание на языке оригинала

Bogachev, M. Statistical prediction of protein structural, localization and functional properties by the analysis of its fragment mass distributions after proteolytic cleavage / M. Bogachev, A.R. Kayumov, O. Markelov, Armin Bunde // SCIENTIFIC REPORTS. - 2016. - V.6.

Аннотация

Structural, localization and functional properties of unknown proteins are often being predicted from their primary polypeptide chains using sequence alignment with already characterized proteins and consequent molecular modeling. Here we suggest an approach to predict various structural and structure-associated properties of proteins directly from the mass distributions of their proteolytic cleavage fragments. For amino-acid-specific cleavages, the distributions of fragment masses are determined by the distributions of inter-amino-acid intervals in the protein, that in turn apparently reflect its structural and structure-related features. Large-scale computer simulations revealed that for transmembrane proteins, either α-helical or β -barrel secondary structure could be predicted with about 90% accuracy after thermolysin cleavage. Moreover, 3/4 intrinsically disordered proteins could be correctly distinguished from proteins with fixed three-dimensional structure belonging to all four

Ключевые слова

Название журнала

SCIENTIFIC REPORTS

URL

http://www.nature.com/articles/srep22286

Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на эту карточку

https://repository.kpfu.ru/?p_id=127895

Полная запись метаданных

Поле DC	Значение	Язык
dc.contributor.author	Каюмов Айрат Рашитович	ru_RU
dc.contributor.author	Bunde Armin -	ru_RU
dc.contributor.author	Богачев Михаил Игоревич	ru_RU
dc.contributor.author	Маркелов Олег А.	ru_RU
dc.date.accessioned	2016-01-01T00:00:00Z	ru_RU
dc.date.available	2016-01-01T00:00:00Z	ru_RU
dc.date.issued	2016	ru_RU
dc.identifier.citation	Bogachev, M. Statistical prediction of protein structural, localization and functional properties by the analysis of its fragment mass distributions after proteolytic cleavage / M. Bogachev, A.R. Kayumov, O. Markelov, Armin Bunde // SCIENTIFIC REPORTS. - 2016. - V.6.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/?p_id=127895	ru_RU
dc.description.abstract	SCIENTIFIC REPORTS	ru_RU
dc.description.abstract	Structural, localization and functional properties of unknown proteins are often being predicted from their primary polypeptide chains using sequence alignment with already characterized proteins and consequent molecular modeling. Here we suggest an approach to predict various structural and structure-associated properties of proteins directly from the mass distributions of their proteolytic cleavage fragments. For amino-acid-specific cleavages, the distributions of fragment masses are determined by the distributions of inter-amino-acid intervals in the protein, that in turn apparently reflect its structural and structure-related features. Large-scale computer simulations revealed that for transmembrane proteins, either α-helical or β -barrel secondary structure could be predicted with about 90% accuracy after thermolysin cleavage. Moreover, 3/4 intrinsically disordered proteins could be correctly distinguished from proteins with fixed three-dimensional structure belonging to all four	ru_RU
dc.language.iso	ru	ru_RU
dc.subject		ru_RU
dc.title	Statistical prediction of protein structural, localization and functional properties by the analysis of its fragment mass distributions after proteolytic cleavage	ru_RU
dc.type	Статьи в зарубежных журналах и сборниках	ru_RU