Chen Qingfeng, Luo Haiqiong, Zhang Chengqi, Chen Yi-Ping Phoebe
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.
School of Public Health, Guangxi Medical University, Nanning, 530021, China.
Math Biosci. 2015 Apr;262:147-56. doi: 10.1016/j.mbs.2015.01.010. Epub 2015 Feb 2.
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.
蛋白激酶与多种疾病有关，激酶参与控制细胞生长、运动和死亡的许多方面。激酶活性失调以及对这些疾病的了解对于药物发现具有重大临床意义。最关键的问题是开发安全、高效且成本更低、耗时更短的疾病诊断和治疗方法。开发针对疾病根源而非仅仅症状的创新方法至关重要。包括遗传学、基因组学、数学和计算技术在内的生物信息学，已成为有效药物发现最有前景的选择，并在药物靶点识别和靶点验证的早期阶段展现出了潜力。必须理解这些方面并将其整合到用于发现由激酶活性失调引起的疾病的药物的新方法中。本文综述了用于蛋白激酶数据管理与分析、激酶途径和药物靶点的生物信息学技术，并描述了它们在制药行业的潜在应用。
