Literature DB >> 19929824

Successful applications of computer aided drug discovery: moving drugs from concept to the clinic.

Tanaji T Talele1, Santosh A Khedkar, Alan C Rigby.   

Abstract

Drug discovery and development is an interdisciplinary, expensive and time-consuming process. Scientific advancements during the past two decades have changed the way pharmaceutical research generate novel bioactive molecules. Advances in computational techniques and in parallel hardware support have enabled in silico methods, and in particular structure-based drug design method, to speed up new target selection through the identification of hits to the optimization of lead compounds in the drug discovery process. This review is focused on the clinical status of experimental drugs that were discovered and/or optimized using computer-aided drug design. We have provided a historical account detailing the development of 12 small molecules (Captopril, Dorzolamide, Saquinavir, Zanamivir, Oseltamivir, Aliskiren, Boceprevir, Nolatrexed, TMI-005, LY-517717, Rupintrivir and NVP-AUY922) that are in clinical trial or have become approved for therapeutic use.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 19929824     DOI: 10.2174/156802610790232251

Source DB:  PubMed          Journal:  Curr Top Med Chem        ISSN: 1568-0266            Impact factor:   3.295


  59 in total

Review 1.  From laptop to benchtop to bedside: structure-based drug design on protein targets.

Authors:  Lu Chen; John K Morrow; Hoang T Tran; Sharangdhar S Phatak; Lei Du-Cuny; Shuxing Zhang
Journal:  Curr Pharm Des       Date:  2012       Impact factor: 3.116

Review 2.  Computational methods in drug discovery.

Authors:  Gregory Sliwoski; Sandeepkumar Kothiwale; Jens Meiler; Edward W Lowe
Journal:  Pharmacol Rev       Date:  2013-12-31       Impact factor: 25.468

3.  Molecular dynamics and docking simulations as a proof of high flexibility in E. coli FabH and its relevance for accurate inhibitor modeling.

Authors:  Yunierkis Pérez-Castillo; Matheus Froeyen; Miguel Angel Cabrera-Pérez; Ann Nowé
Journal:  J Comput Aided Mol Des       Date:  2011-04-23       Impact factor: 3.686

4.  A novel small-molecule tumor necrosis factor α inhibitor attenuates inflammation in a hepatitis mouse model.

Authors:  Li Ma; Haiyan Gong; Haiyan Zhu; Qing Ji; Pei Su; Peng Liu; Shannan Cao; Jianfeng Yao; Linlin Jiang; Mingzhe Han; Xiaotong Ma; Dongsheng Xiong; Hongbo R Luo; Fei Wang; Jiaxi Zhou; Yuanfu Xu
Journal:  J Biol Chem       Date:  2014-03-14       Impact factor: 5.157

Review 5.  Drug repurposing in oncology--patient and health systems opportunities.

Authors:  Francesco Bertolini; Vikas P Sukhatme; Gauthier Bouche
Journal:  Nat Rev Clin Oncol       Date:  2015-10-20       Impact factor: 66.675

6.  A Multimodal Data Analysis Approach for Targeted Drug Discovery Involving Topological Data Analysis (TDA).

Authors:  Muthuraman Alagappan; Dadi Jiang; Nicholas Denko; Albert C Koong
Journal:  Adv Exp Med Biol       Date:  2016       Impact factor: 2.622

Review 7.  Recent progress on cheminformatics approaches to epigenetic drug discovery.

Authors:  Zoe Sessions; Norberto Sánchez-Cruz; Fernando D Prieto-Martínez; Vinicius M Alves; Hudson P Santos; Eugene Muratov; Alexander Tropsha; José L Medina-Franco
Journal:  Drug Discov Today       Date:  2020-09-30       Impact factor: 7.851

Review 8.  Software and resources for computational medicinal chemistry.

Authors:  Chenzhong Liao; Markus Sitzmann; Angelo Pugliese; Marc C Nicklaus
Journal:  Future Med Chem       Date:  2011-06       Impact factor: 3.808

9.  Combining self- and cross-docking as benchmark tools: the performance of DockBench in the D3R Grand Challenge 2.

Authors:  Veronica Salmaso; Mattia Sturlese; Alberto Cuzzolin; Stefano Moro
Journal:  J Comput Aided Mol Des       Date:  2017-08-24       Impact factor: 3.686

10.  Improving inverse docking target identification with Z-score selection.

Authors:  Stephanie S Kim; Melanie L Aprahamian; Steffen Lindert
Journal:  Chem Biol Drug Des       Date:  2019-01-02       Impact factor: 2.817

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.