DisBind: A database of classified functional binding sites in disordered and structured regions of intrinsically disordered proteins

被引:9
作者
Yu, Jia-Feng [1 ]
Dou, Xiang-Hua [2 ]
Sha, Yu-Jie [1 ]
Wang, Chun-Ling [2 ]
Wang, Hong-Bo [1 ]
Chen, Yi-Ting [2 ]
Zhang, Feng [2 ]
Zhou, Yaoqi [1 ,3 ,4 ]
Wang, Ji-Hua [1 ,2 ]
机构
[1] Dezhou Univ, Inst Biophys, Shandong Prov Key Lab Biophys, Dezhou 253023, Peoples R China
[2] Dezhou Univ, Coll Phys & Elect Informat, Dezhou 253023, Peoples R China
[3] Griffith Univ, Inst Glyc, Parklands Dr, Southport, Qld 4222, Australia
[4] Griffith Univ, Sch Informat & Commun Technol, Parklands Dr, Southport, Qld 4222, Australia
来源
BMC BIOINFORMATICS | 2017年 / 18卷
基金
澳大利亚研究理事会; 英国医学研究理事会; 中国国家自然科学基金;
关键词
Intrinsic disorder; Database; Function classification; Protein disorder prediction; Protein function; Binding site; PREDICTION; LIFE; ANNOTATIONS; MOBIDB; DNA;
D O I
10.1186/s12859-017-1620-1
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Background: Intrinsically unstructured or disordered proteins function via interacting with other molecules. Annotation of these binding sites is the first step for mapping functional impact of genetic variants in coding regions of human and other genomes, considering that a significant portion of eukaryotic genomes code for intrinsically disordered regions in proteins. Results: DisBind (available at http://biophy. dzu. edu. cn/DisBind) is a collection of experimentally supported binding sites in intrinsically disordered proteins and proteins with both structured and disordered regions. There are a total of 226 IDPs with functional site annotations. These IDPs contain 465 structured regions (ORs) and 428 IDRs according to annotation by DisProt. The database contains a total of 4232 binding residues (from UniProt and PDB structures) in which 2836 residues are in ORs and 1396 in IDRs. These binding sites are classified according to their interacting partners including proteins, RNA, DNA, metal ions and others with 2984, 258, 383, 350, and 262 annotated binding sites, respectively. Each entry contains site-specific annotations (structured regions, intrinsically disordered regions, and functional binding regions) that are experimentally supported according to PDB structures or annotations from UniProt. Conclusion: The searchable DisBind provides a reliable data resource for functional classification of intrinsically disordered proteins at the residue level.
引用
收藏
页数:5
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