title: An Overview of Predictors for Intrinsically Disordered Proteins over 2010-2014.
abstract: The sequence-structure-function paradigm of proteins has been changed by the occurrence of intrinsically disordered proteins (IDPs). Benefiting from the structural disorder, IDPs are of particular importance in biological processes like regulation and signaling. IDPs are associated with human diseases, including cancer, cardiovascular disease, neurodegenerative diseases, amyloidoses, and several other maladies. IDPs attract a high level of interest and a substantial effort has been made to develop experimental and computational methods. So far, more than 70 prediction tools have been developed since 1997, within which 17 predictors were created in the last five years. Here, we presented an overview of IDPs predictors developed during 2010-2014. We analyzed the algorithms used for IDPs prediction by these tools and we also discussed the basic concept of various prediction methods for IDPs. The comparison of prediction performance among these tools is discussed as well.
authors.affiliation: College of Life Sciences & Key Laboratory of Ministry of Education for Bio-Resources and Bio-Environment, Sichuan University, Chengdu 610064, China. lijianzong@hotmail.com.
authors.forename: Jianzong
authors.initials: J
authors.lastname: Li
authors.affiliation: College of Life Sciences & Key Laboratory of Ministry of Education for Bio-Resources and Bio-Environment, Sichuan University, Chengdu 610064, China. dorisfeng2@sina.com.
authors.forename: Yu
authors.initials: Y
authors.lastname: Feng
authors.affiliation: College of Life Sciences & Key Laboratory of Ministry of Education for Bio-Resources and Bio-Environment, Sichuan University, Chengdu 610064, China. wxyun08109@163.com.
authors.forename: Xiaoyun
authors.initials: X
authors.lastname: Wang
authors.affiliation: College of Life Sciences & Key Laboratory of Ministry of Education for Bio-Resources and Bio-Environment, Sichuan University, Chengdu 610064, China. lijianzong@hotmail.com.|State Key Laboratory of Biotherapy/Collaborative Innovation Center for Biotherapy, West China Hospital, Sichuan University, Chengdu 610041, China. lijianzong@hotmail.com.
authors.forename: Jing
authors.initials: J
authors.lastname: Li
authors.affiliation: College of Life Sciences & Key Laboratory of Ministry of Education for Bio-Resources and Bio-Environment, Sichuan University, Chengdu 610064, China. cindylwen@163.com.
authors.forename: Wen
authors.initials: W
authors.lastname: Liu
authors.affiliation: College of Life Sciences & Key Laboratory of Ministry of Education for Bio-Resources and Bio-Environment, Sichuan University, Chengdu 610064, China. rongronglili2014@163.com.
authors.forename: Li
authors.initials: L
authors.lastname: Rong
authors.affiliation: College of Life Sciences & Key Laboratory of Ministry of Education for Bio-Resources and Bio-Environment, Sichuan University, Chengdu 610064, China. baojinku@scu.edu.cn.|State Key Laboratory of Biotherapy/Collaborative Innovation Center for Biotherapy, West China Hospital, Sichuan University, Chengdu 610041, China. baojinku@scu.edu.cn.|State Key Laboratory of Oral Diseases, West China College of Stomatology, Sichuan University, Chengdu 610041, China. baojinku@scu.edu.cn.
authors.forename: Jinku
authors.initials: J
authors.lastname: Bao
mesh_terms: D000818:Animals; D019703:Calcineurin / Q000378:metabolism; D006801:Humans; D064267:Intrinsically Disordered Proteins / Q000378:metabolism*
chemical_list: D064267:Intrinsically Disordered Proteins; D019703:Calcineurin
keywords: computational methods; intrinsically disordered proteins; predictor