Computational Prediction of Protein Intrinsically Disordered Region Related Interactions and Functions

Author:

Han Bingqing1,Ren Chongjiao1,Wang Wenda1,Li Jiashan1,Gong Xinqi12

Affiliation:

1. Mathematical Intelligence Application Lab, Institute for Mathematical Sciences, Renmin University of China, Beijing 100872, China

2. Beijing Academy of Intelligence, Beijing 100083, China

Abstract

Intrinsically Disordered Proteins (IDPs) and Regions (IDRs) exist widely. Although without well-defined structures, they participate in many important biological processes. In addition, they are also widely related to human diseases and have become potential targets in drug discovery. However, there is a big gap between the experimental annotations related to IDPs/IDRs and their actual number. In recent decades, the computational methods related to IDPs/IDRs have been developed vigorously, including predicting IDPs/IDRs, the binding modes of IDPs/IDRs, the binding sites of IDPs/IDRs, and the molecular functions of IDPs/IDRs according to different tasks. In view of the correlation between these predictors, we have reviewed these prediction methods uniformly for the first time, summarized their computational methods and predictive performance, and discussed some problems and perspectives.

Funder

public computing cloud of Renmin University

Beijing Academy of Intelligence

Publisher

MDPI AG

Subject

Genetics (clinical),Genetics

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