title: DisBind: A database of classified functional binding sites in disordered and structured regions of intrinsically disordered proteins.
abstract: 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.
  
  
  CONCLUSIONS
  The searchable DisBind provides a reliable data resource for functional classification of intrinsically disordered proteins at the residue level.
authors.affiliation: Shandong Provincial Key Laboratory of Biophysics, Institute of Biophysics, Dezhou University, Dezhou, 253023, China.
authors.forename: Jia-Feng
authors.initials: JF
authors.lastname: Yu
authors.affiliation: College of Physics and Electronic Information, Dezhou University, Dezhou, 253023, China.
authors.forename: Xiang-Hua
authors.initials: XH
authors.lastname: Dou
authors.affiliation: Shandong Provincial Key Laboratory of Biophysics, Institute of Biophysics, Dezhou University, Dezhou, 253023, China.
authors.forename: Yu-Jie
authors.initials: YJ
authors.lastname: Sha
authors.affiliation: College of Physics and Electronic Information, Dezhou University, Dezhou, 253023, China.
authors.forename: Chun-Ling
authors.initials: CL
authors.lastname: Wang
authors.affiliation: Shandong Provincial Key Laboratory of Biophysics, Institute of Biophysics, Dezhou University, Dezhou, 253023, China.
authors.forename: Hong-Bo
authors.initials: HB
authors.lastname: Wang
authors.affiliation: College of Physics and Electronic Information, Dezhou University, Dezhou, 253023, China.
authors.forename: Yi-Ting
authors.initials: YT
authors.lastname: Chen
authors.affiliation: College of Physics and Electronic Information, Dezhou University, Dezhou, 253023, China.
authors.forename: Feng
authors.initials: F
authors.lastname: Zhang
authors.affiliation: Shandong Provincial Key Laboratory of Biophysics, Institute of Biophysics, Dezhou University, Dezhou, 253023, China. yaoqi.zhou@griffith.edu.au.|Institute for Glycomics and School of Information and Communication Technology, Griffith University, Parklands Dr, Southport, QLD, 4222, Australia. yaoqi.zhou@griffith.edu.au.
authors.forename: Yaoqi
authors.identifier: http://orcid.org/0000-0002-9958-5699
authors.initials: Y
authors.lastname: Zhou
authors.affiliation: Shandong Provincial Key Laboratory of Biophysics, Institute of Biophysics, Dezhou University, Dezhou, 253023, China. jhw25336@126.com.|College of Physics and Electronic Information, Dezhou University, Dezhou, 253023, China. jhw25336@126.com.
authors.forename: Ji-Hua
authors.initials: JH
authors.lastname: Wang
mesh_terms: D001665:Binding Sites; D016208:Databases, Factual; D006801:Humans; D020407:Internet; D064267:Intrinsically Disordered Proteins / Q000737:chemistry / Q000378:metabolism*; D017434:Protein Structure, Tertiary; D014584:User-Computer Interface
chemical_list: D064267:Intrinsically Disordered Proteins
keywords: Binding site; Database; Function classification; Intrinsic disorder; Protein disorder prediction; Protein function