Literature DB >> 12570731

Strategy of computer-aided drug design.

A V Veselovsky1, A S Ivanov.   

Abstract

Modern strategies of computer-aided drug design (CADD) are reviewed. The task of CADD in the pipeline of drug discovery is accelerating of finding the new lead compounds and their structure optimization for the following pharmacological tests. The main directions in CADD are based on the availability of the experimentally determined three-dimensional structure of the target macromolecule. If spatial structure is known the methods of structure-based drug design are used. In the opposite case the indirect methods of CADD based on the structures of known ligands (ligand-based drug design) are used. The interrelationship between the main directions of CADD is reviewed. The main CADD approaches of molecule de novo design and database mining are described. They include methods of molecular docking, de novo design, design of pharmacophore and quantity structure-activity relationship models. New ways and perspectives of CADD are discussed.

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Year:  2003        PMID: 12570731     DOI: 10.2174/1568005033342145

Source DB:  PubMed          Journal:  Curr Drug Targets Infect Disord        ISSN: 1568-0053


  14 in total

1.  Multiple-step virtual screening using VSM-G: overview and validation of fast geometrical matching enrichment.

Authors:  Alexandre Beautrait; Vincent Leroux; Matthieu Chavent; Léo Ghemtio; Marie-Dominique Devignes; Malika Smaïl-Tabbone; Wensheng Cai; Xuegang Shao; Gilles Moreau; Peter Bladon; Jianhua Yao; Bernard Maigret
Journal:  J Mol Model       Date:  2008-01-03       Impact factor: 1.810

2.  Structure based design of selective SHP2 inhibitors by De novo design, synthesis and biological evaluation.

Authors:  Wen-Shan Liu; Wen-Yan Jin; Liang Zhou; Xing-Hua Lu; Wei-Ya Li; Ying Ma; Run-Ling Wang
Journal:  J Comput Aided Mol Des       Date:  2019-07-12       Impact factor: 3.686

3.  Successful computer guided planned synthesis of (4R)-thiazolidine carboxylic acid and its 2-substituted analogues as urease inhibitors.

Authors:  Khalid Mohammed Khan; Zia Ullah; Muhammad Arif Lodhi; Muhammad Ali; Muhammad Iqbal Choudhary; Atta Ur Rahman; Zaheer Ul Haq
Journal:  Mol Divers       Date:  2006-05-19       Impact factor: 2.943

4.  Exploring the binding pocket for pyridopyrimidine ligands at the CCK1 receptor by molecular docking.

Authors:  Amel Toumi-Maouche; Boubekeur Maouche; Safia Taïri-Kellou; Salima El-Aoufi; Mercedes Martín-Martínez; Rosario González-Muñiz; Daniel Fourmy; Bernard Maigret
Journal:  J Mol Model       Date:  2008-02-20       Impact factor: 1.810

5.  Anti hyperglycaemic study of natural inhibitors for Insulin receptor.

Authors:  Subhojyoti Chatterjee; Akshaya Lakshmi Narasimhaiah; Sanjay Kundu; Santosh Anand
Journal:  Bioinformation       Date:  2012-12-08

6.  DNA polymerase β as a novel target for chemotherapeutic intervention of colorectal cancer.

Authors:  Aruna S Jaiswal; Sanjeev Banerjee; Ritu Aneja; Fazlul H Sarkar; David A Ostrov; Satya Narayan
Journal:  PLoS One       Date:  2011-02-02       Impact factor: 3.240

Review 7.  Advantages of Structure-Based Drug Design Approaches in Neurological Disorders.

Authors:  Murali Aarthy; Umesh Panwar; Chandrabose Selvaraj; Sanjeev Kumar Singh
Journal:  Curr Neuropharmacol       Date:  2017-11-14       Impact factor: 7.363

8.  Structure-based substrate screening for an enzyme.

Authors:  Tao Xu; Lujia Zhang; Xuedong Wang; Dongzhi Wei; Tianbi Li
Journal:  BMC Bioinformatics       Date:  2009-08-21       Impact factor: 3.169

9.  Developing and validating predictive decision tree models from mining chemical structural fingerprints and high-throughput screening data in PubChem.

Authors:  Lianyi Han; Yanli Wang; Stephen H Bryant
Journal:  BMC Bioinformatics       Date:  2008-09-25       Impact factor: 3.169

10.  Inhibition of neuraminidase by Ganoderma triterpenoids and implications for neuraminidase inhibitor design.

Authors:  Qinchang Zhu; Tran Hai Bang; Koichiro Ohnuki; Takashi Sawai; Ken Sawai; Kuniyoshi Shimizu
Journal:  Sci Rep       Date:  2015-08-26       Impact factor: 4.379

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