Srivastava Prachi, Tiwari Anshul
AMITY Institute of Biotechnology, AMITY University Uttar Pradesh Lucknow, Lucknow, UP, India.
Department of Ophthalmology, King George's Medical University, Lucknow, UP, India.
Curr Top Med Chem. 2017;17(21):2422-2432. doi: 10.2174/1568026617666170403113541.
The last couple of decades has witnessed that an amalgamation of multidisciplinary branches of science come together in the form of 'Bioinformatics' and made a substantial impact on the drug designing process. The applicability of Bioinformatics approaches has been able to lower down the overall cost and time of drug discovery and development. The Computer Aided Drug Designing System (CADDS) using extensive applicability of Bioinformatics has been recognized as one step ahead to carry out the primary high throughput virtual screening as an economically viable solution to the problem. The present article discusses the applicability of various Bioinformatics tools for virtual screening and molecular dynamics of selected molecules/ active ingredients derived from herbs, semi-synthetic and synthetic compounds, to predict their possible therapeutic interventions in diabetes induced neuropathy and neurodegenerative disorders. The article ends by summarizing the application of the virtual screening, lead optimization and predictions of bioavailability and bioactivity in the experimental drug development research.
在过去几十年里,多学科科学分支以“生物信息学”的形式融合在一起,并对药物设计过程产生了重大影响。生物信息学方法的应用能够降低药物发现和开发的总体成本和时间。利用生物信息学广泛适用性的计算机辅助药物设计系统(CADDS)被认为是朝着开展初步高通量虚拟筛选迈出的一步,这是解决该问题的一种经济可行的方案。本文讨论了各种生物信息学工具在虚拟筛选以及对源自草药、半合成和合成化合物的选定分子/活性成分进行分子动力学方面的适用性,以预测它们在糖尿病性神经病变和神经退行性疾病中可能的治疗干预作用。文章最后总结了虚拟筛选、先导优化以及生物利用度和生物活性预测在实验性药物开发研究中的应用。