title: DbPTM 3.0: an informative resource for investigating substrate site specificity and functional association of protein post-translational modifications.
abstract: Protein modification is an extremely important post-translational regulation that adjusts the physical and chemical properties, conformation, stability and activity of a protein; thus altering protein function. Due to the high throughput of mass spectrometry (MS)-based methods in identifying site-specific post-translational modifications (PTMs), dbPTM (http://dbPTM.mbc.nctu.edu.tw/) is updated to integrate experimental PTMs obtained from public resources as well as manually curated MS/MS peptides associated with PTMs from research articles. Version 3.0 of dbPTM aims to be an informative resource for investigating the substrate specificity of PTM sites and functional association of PTMs between substrates and their interacting proteins. In order to investigate the substrate specificity for modification sites, a newly developed statistical method has been applied to identify the significant substrate motifs for each type of PTMs containing sufficient experimental data. According to the data statistics in dbPTM, >60% of PTM sites are located in the functional domains of proteins. It is known that most PTMs can create binding sites for specific protein-interaction domains that work together for cellular function. Thus, this update integrates protein-protein interaction and domain-domain interaction to determine the functional association of PTM sites located in protein-interacting domains. Additionally, the information of structural topologies on transmembrane (TM) proteins is integrated in dbPTM in order to delineate the structural correlation between the reported PTM sites and TM topologies. To facilitate the investigation of PTMs on TM proteins, the PTM substrate sites and the structural topology are graphically represented. Also, literature information related to PTMs, orthologous conservations and substrate motifs of PTMs are also provided in the resource. Finally, this version features an improved web interface to facilitate convenient access to the resource.
authors.affiliation: Department of Computer Science and Engineering, Yuan Ze University, Chung-Li 320, Taiwan.
authors.forename: Cheng-Tsung
authors.initials: CT
authors.lastname: Lu
authors.forename: Kai-Yao
authors.initials: KY
authors.lastname: Huang
authors.forename: Min-Gang
authors.initials: MG
authors.lastname: Su
authors.forename: Tzong-Yi
authors.initials: TY
authors.lastname: Lee
authors.forename: Neil Arvin
authors.initials: NA
authors.lastname: Bretaña
authors.forename: Wen-Chi
authors.initials: WC
authors.lastname: Chang
authors.forename: Yi-Ju
authors.initials: YJ
authors.lastname: Chen
authors.forename: Yu-Ju
authors.initials: YJ
authors.lastname: Chen
authors.forename: Hsien-Da
authors.initials: HD
authors.lastname: Huang
mesh_terms: D030562:Databases, Protein; D020407:Internet; D008565:Membrane Proteins / Q000737:chemistry / Q000378:metabolism; D046188:Protein Modification, Translational; D017434:Protein Structure, Tertiary; D013379:Substrate Specificity; D014584:User-Computer Interface
chemical_list: D008565:Membrane Proteins