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 how to exploit computational approaches for SIPs detection based on… (More)
DOI: 10.1186/s13321-017-0233-z

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