Kotlyar Max, Rossos Andrea E M, Jurisica Igor
Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Departments of Medical Biophysics and Computer Science, University of Toronto, Ontario, Canada.
Curr Protoc Bioinformatics. 2017 Dec 8;60:8.2.1-8.2.14. doi: 10.1002/cpbi.38.
The authors provide an overview of physical protein-protein interaction prediction, covering the main strategies for predicting interactions, approaches for assessing predictions, and online resources for accessing predictions. This unit focuses on the main advancements in each of these areas over the last decade. The methods and resources that are presented here are not an exhaustive set, but characterize the current state of the field-highlighting key challenges and achievements. © 2017 by John Wiley & Sons, Inc.
作者提供了物理蛋白质-蛋白质相互作用预测的概述,涵盖了预测相互作用的主要策略、评估预测的方法以及获取预测结果的在线资源。本单元重点介绍了过去十年中这些领域各自取得的主要进展。这里介绍的方法和资源并非详尽无遗,但体现了该领域的当前状态——突出了关键挑战和成就。© 2017约翰威立国际出版公司。