Bioinformatics Centre, Institute of Microbial Technology, Chandigarh, India.
Curr Top Med Chem. 2013;13(10):1172-91. doi: 10.2174/1568026611313100005.
Despite the tremendous progress in the field of drug designing, discovering a new drug molecule is still a challenging task. Drug discovery and development is a costly, time consuming and complex process that requires millions of dollar and 10-15 years to bring new drug molecules in the market. This huge investment and long-term process are attributed to high failure rate, complexity of the problem and strict regulatory rules, in addition to other factors. Given the availability of 'big' data with ever improving computing power, it is now possible to model systems which is expected to provide time and cost effectiveness to drug discovery process. Computer Aided Drug Designing (CADD) has emerged as a fast alternative method to bring down the cost involved in discovering a new drug. In past, numerous computer programs have been developed across the globe to assist the researchers working in the field of drug discovery. Broadly, these programs can be classified in three categories, freeware, shareware and commercial software. In this review, we have described freeware or open-source software that are commonly used for designing therapeutic molecules. Major emphasis will be on software and web services in the field of chemo- or pharmaco-informatics that includes in silico tools used for computing molecular descriptors, inhibitors designing against drug targets, building QSAR models, and ADMET properties.
尽管在药物设计领域取得了巨大的进展,但发现新的药物分子仍然是一项具有挑战性的任务。药物发现和开发是一个昂贵、耗时且复杂的过程,需要数百万美元和 10-15 年的时间将新的药物分子推向市场。除了其他因素外,这种巨大的投资和长期的过程归因于高失败率、问题的复杂性和严格的监管规则。鉴于“大数据”的可用性和不断提高的计算能力,现在可以对系统进行建模,预计这将为药物发现过程提供时间和成本效益。计算机辅助药物设计(CADD)已经成为降低发现新药成本的一种快速替代方法。过去,全球范围内开发了许多计算机程序来帮助从事药物发现领域的研究人员。这些程序大致可以分为三类,即免费软件、共享软件和商业软件。在这篇综述中,我们描述了常用于设计治疗性分子的免费软件或开源软件。重点将放在化学信息学或药物信息学领域的软件和网络服务上,包括用于计算分子描述符、针对药物靶点设计抑制剂、构建 QSAR 模型和 ADMET 特性的计算工具。