Computational methods using weighed-extreme learning machine to predict protein self-interactions with protein evolutionary information

Computational methods using weighed-extreme learning machine to predict protein self-interactions with protein evolutionary information

Abstract Self-interactions Proteins (SIPs) is important for their biological activity owing to the inherent interaction amongst their secondary structures or domains. However, due to the limitations of experimental Self-interactions detection, one major challenge in the study of prediction SIPs is h...

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Bibliographic Details
Main Authors: Ji-Yong An, Lei Zhang, Yong Zhou, Yu-Jun Zhao, Da-Fu Wang
Format: Article
Language:English
Published: BMC 2017-08-01
Series:Journal of Cheminformatics
Subjects:
SIPs
Weighed-extreme learning machine
Local average group
PCA
Online Access:http://link.springer.com/article/10.1186/s13321-017-0233-z

Internet

http://link.springer.com/article/10.1186/s13321-017-0233-z

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