Current topics in computer-aided drug design

被引:71
作者
Taft, Carlton A. [1 ]
Da Silva, Vinicius Barreto [2 ]
Tomich De Paula Da Silva, Carlos Henrique [2 ]
机构
[1] Ctr Brasileiro Pesquisas Fis, BR-22290180 Rio De Janeiro, Brazil
[2] Univ Sao Paulo, Fac Ciencias Farmaceut, BR-14040903 Ribeirao Preto, Brazil
关键词
drug design; drug interactions; drug resistance; ADME; antiinfectives;
D O I
10.1002/jps.21293
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
The addition of computer-aided drug design (CADD) technologies to the research and drug discovery approaches could lead to a reduction of up to 50% in the cost of drug design. Designing a drug is the process of finding or creating a molecule which has a specific activity on a biological organism. Development and drug discovery is a time-consuming, expensive, and interdisciplinary process whereas scientific advancements during the past two decades have altered the way pharmaceutical research produces new bioactive molecules. Advances in computational techniques and hardware solutions have enabled in silico methods to speed up lead optimization and identification. We will review current topics in computer-aided molecular design underscoring some of the most recent approaches and interdisciplinary processes. We will discuss some of the most efficient pathways and design. (C) 2008 Wiley-Liss, Inc.
引用
收藏
页码:1089 / 1098
页数:10
相关论文
共 54 条
[1]   ICM - A NEW METHOD FOR PROTEIN MODELING AND DESIGN - APPLICATIONS TO DOCKING AND STRUCTURE PREDICTION FROM THE DISTORTED NATIVE CONFORMATION [J].
ABAGYAN, R ;
TOTROV, M ;
KUZNETSOV, D .
JOURNAL OF COMPUTATIONAL CHEMISTRY, 1994, 15 (05) :488-506
[2]   Combining docking and molecular dynamic simulations in drug design [J].
Alonso, Hernan ;
Bliznyuk, Andrey A. ;
Gready, Jill E. .
MEDICINAL RESEARCH REVIEWS, 2006, 26 (05) :531-568
[3]   Computer prediction of drug resistance mutations in proteins [J].
Cao, ZW ;
Han, LY ;
Zheng, CJ ;
Ji, ZL ;
Chen, X ;
Lin, HH ;
Chen, YZ .
DRUG DISCOVERY TODAY, 2005, 10 (07) :521-529
[4]   Permuting input for more effective sampling of 3D conformer space [J].
Carta, Giorgio ;
Onnis, Valeria ;
Knox, Andrew J. S. ;
Fayne, Darren ;
Lloyd, David G. .
JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN, 2006, 20 (03) :179-190
[5]  
*CCDC, GOLD
[6]   Computational approaches to modeling drug transporters [J].
Chang, C ;
Swaan, PW .
EUROPEAN JOURNAL OF PHARMACEUTICAL SCIENCES, 2006, 27 (05) :411-424
[7]   Virtual screening, molecular interaction field, molecular dynamics, docking, density functional, and ADMET properties of novel AChE inhibitors in Alzheimer's disease [J].
da Silva, Carlos H. T. P. ;
Carvalho, Ivone ;
Taft, C. A. .
JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2007, 24 (06) :515-523
[8]   A molecular modeling and QSAR study of suppressors of the growth of Trypanosoma cruzi epimastigotes [J].
da Silva, CHTD ;
Sanches, SM ;
Taft, CA .
JOURNAL OF MOLECULAR GRAPHICS & MODELLING, 2004, 23 (01) :89-97
[9]   Molecular modelling of drug targets: The past, the present and the future [J].
Dahl, SG ;
Sylte, I .
BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2005, 96 (03) :151-155
[10]  
de Waterbeemd H. Van, 2003, DRUG BIOAVAILABILITY