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Face Recognition via Domain Adaptation and Manifold Distance Metric Learning Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Effective Identification of Hot Spots in PPIs Based on Ensemble Learning

Authors : Xiaoli Lin, QianQian Huang, Fengli Zhou

Published in: Intelligent Computing Theories and Application

Publisher: Springer International Publishing

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Abstract

The experiment of alanine scanning has shown that most of the binding energies in protein-protein interactions are contributed by a few significant residues at the protein-protein interfaces, and those important residues are called hot spot residues. On the basis of protein-protein interaction, hot spot residues tend to get together to form modules, and those modules are defined as hot regions. So, hot spot residues play an important role in revealing the life activities of organisms. Therefore, how to predict hot spot residues and non-spot residues effectively and accurately is a vital research direction. A new method is proposed combining protein amino acid physicochemical features and structural features to predict the hot spot residues based on the ensemble learning. The experimental results demonstrate that this method of prediction hot spot residues has a good effect.

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Metadata
Title
Effective Identification of Hot Spots in PPIs Based on Ensemble Learning
Authors
Xiaoli Lin
QianQian Huang
Fengli Zhou
Copyright Year
2017
Book
Intelligent Computing Theories and Application

Print ISBN: 978-3-319-63311-4

Electronic ISBN: 978-3-319-63312-1

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-63312-1_18

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