title: Bioinformatics in protein kinases regulatory network and drug discovery.
abstract: Protein kinases have been implicated in a number of diseases, where kinases participate many aspects that control cell growth, movement and death. The deregulated kinase activities and the knowledge of these disorders are of great clinical interest of drug discovery. The most critical issue is the development of safe and efficient disease diagnosis and treatment for less cost and in less time. It is critical to develop innovative approaches that aim at the root cause of a disease, not just its symptoms. Bioinformatics including genetic, genomic, mathematics and computational technologies, has become the most promising option for effective drug discovery, and has showed its potential in early stage of drug-target identification and target validation. It is essential that these aspects are understood and integrated into new methods used in drug discovery for diseases arisen from deregulated kinase activity. This article reviews bioinformatics techniques for protein kinase data management and analysis, kinase pathways and drug targets and describes their potential application in pharma ceutical industry.
authors: School of Computer, Electronic and Information, Guangxi University, Nanning, 530004, China; State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, Guangxi University, China. Electronic address: qingfeng@gxu.edu.cn.
authors: Qingfeng
authors: Q
authors: Chen
authors: School of Public Health, Guangxi Medical University, Nanning, 530021, China. Electronic address: hqluo@163.com.
authors: Haiqiong
authors: H
authors: Luo
authors: Centre for Quantum Computation & Intelligent Systems, University of Technology, Sydney P.O. Box 123, Broadway, NSW 2007, Australia. Electronic address: chengqi.zhang@uts.edu.au.
authors: Chengqi
authors: C
authors: Zhang
authors: Department of Computer Science and Computer Engineering, La Trobe University, Vic 3086, Australia. Electronic address: phoebe.chen@latrobe.edu.au.
authors: Yi-Ping Phoebe
authors: YP
authors: Chen
mesh_terms: D019295:Computational Biology / Q000379:methods*; D016503:Drug Delivery Systems; D055808:Drug Discovery / Q000379:methods* / Q000706:statistics & numerical data; D006801:Humans; D053858:Metabolic Networks and Pathways; D008954:Models, Biological; D047428:Protein Kinase Inhibitors; D011494:Protein Kinases / Q000235:genetics / Q000378:metabolism*
chemical_list: D047428:Protein Kinase Inhibitors; D011494:Protein Kinases
keywords: Bioinformatics; Data mining; Disease; Drug; Pathway; Protein kinase