Sequence-based prediction of physicochemical interactions at protein functional sites using a function-and-interaction-annotated domain profile database

Sequence-based prediction of physicochemical interactions at protein functional sites using a function-and-interaction-annotated domain profile database

Abstract Background Identifying protein functional sites (PFSs) and, particularly, the physicochemical interactions at these sites is critical to understanding protein functions and the biochemical reactions involved. Several knowledge-based methods have been developed for the prediction of PFSs; ho...

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Bibliographic Details
Main Authors: Min Han, Yifan Song, Jiaqiang Qian, Dengming Ming
Format: Article
Language:English
Published: BMC 2018-06-01
Series:BMC Bioinformatics
Subjects:
Physicochemical interaction prediction
Protein functional site prediction
fiDPD
Hidden Markov model
Domain profile module
Online Access:http://link.springer.com/article/10.1186/s12859-018-2206-2

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http://link.springer.com/article/10.1186/s12859-018-2206-2

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