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首页> 外文期刊>Journal of Bioinformatics and Sequence Analysis >Modern drug discovery process: An in silico approach
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Modern drug discovery process: An in silico approach

机译:现代药物发现过程:计算机方法

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摘要

Drug discovery process is a critical issue in the pharmaceutical industry since it is a very cost-effective and time consuming process to produce new drug potentials and enlarge the scope of diseases incurred. Drug target identification, being the first phase in drug discovery is becoming an overly time consuming process. In many cases, such produces inefficient results due to failure of conventional approaches like?in vivo?and?in vitro?to investigate large scale data. Sophisticated?in silico?approaches has given a tremendous opportunity to pharmaceutical companies to identify new potential drug targets which in turn affect the success and time of performing clinical trials for discovering new drug targets. The main goal of this work is to review?in silico?methods for drug discovery process with emphasis on identifying drug targets, where there are genes or proteins associated with specific diseases. This review provides a succinct overview of several recent approaches that employ bioinformatics for the systematic characterization of the targets of bioactive compounds.
机译:药物发现过程是制药行业中的关键问题,因为它是产生新药潜力并扩大疾病范围的非常具有成本效益和耗时的过程。药物靶标识别是药物发现的第一阶段,正在成为一个非常耗时的过程。在许多情况下,由于常规方法(如“体内”和“体外”)无法研究大规模数据,因此产生的结果无效。复杂的计算机方法为制药公司提供了巨大的机会来确定新的潜在药物靶标,这反过来又会影响发现新药物靶标的临床试验的成功和时间。这项工作的主要目标是审查用于药物发现过程的计算机模拟方法,重点是确定存在与特定疾病相关的基因或蛋白质的药物靶标。这篇综述简要概述了使用生物信息学对生物活性化合物的靶标进行系统表征的几种最新方法。

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