Suppr超能文献

计算机辅助药物发现的最新进展:是时候进行范式转变了。

Recent Updates on Computer-aided Drug Discovery: Time for a Paradigm Shift.

作者信息

Usha Talambedu, Shanmugarajan Dhivya, Goyal Arvind Kumar, Kumar Chinaga Suresh, Middha Sushil Kumar

机构信息

Department of Biochemistry, Bangalore University, Bengaluru, Karnataka, India.

DBT-BIF facility, Department of Biotechnology, Science Research Centre, Maharani Lakshmi Ammanni, College for Women, Bengaluru, Karnataka, India.

出版信息

Curr Top Med Chem. 2017;17(30):3296-3307. doi: 10.2174/1568026618666180101163651.

Abstract

Computer-Aided Drug Designing (CADD) has gained a wide popularity among biologists and chemists as a part of interdisciplinary drug discovery approach. It plays a vital role in the discovery, design and analysis of drugs in pharmaceutical industry. It is extensively used to reduce cost, time and speed up the early stage development of biologically new active molecules. In the current review we presented a brief review of CADD, merits and demerits, DNA, protein and enzyme as targets, types of CADD: Structure Based Drug Designing (SBDD), Ligand Based Drug Designing (LBDD), Pharmacophore based drug designing (PBDD) and Fragment Based Drug Designing (FBDD), theory behind the types of CADD and their applications. The review also focuses on the in-silico pharmokinetic, pharmacodynamic and toxicity filters or predictions that play a major role in identifying the drug like molecules. Currently in pharmaceutical sciences computational tools and software are exhibiting imperative role in the different stages of drug discovery hence the review throws light on various commercial and freeware available for each step of CADD.

摘要

计算机辅助药物设计(CADD)作为跨学科药物发现方法的一部分,在生物学家和化学家中广受欢迎。它在制药行业的药物发现、设计和分析中起着至关重要的作用。它被广泛用于降低成本、缩短时间并加速新型生物活性分子的早期开发。在当前的综述中,我们简要介绍了CADD、其优缺点、作为靶点的DNA、蛋白质和酶、CADD的类型:基于结构的药物设计(SBDD)、基于配体的药物设计(LBDD)、基于药效团的药物设计(PBDD)和基于片段的药物设计(FBDD)、CADD类型背后的理论及其应用。该综述还关注在识别类药物分子中起主要作用的计算机模拟药代动力学、药效动力学和毒性筛选或预测。目前在制药科学中,计算工具和软件在药物发现的不同阶段发挥着至关重要的作用,因此该综述阐明了CADD每个步骤可用的各种商业软件和免费软件。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验