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Virtual Screening and Structure Generation Applied to Drug Design
  • ISSN号:1005-1511
  • 期刊名称:《合成化学》
  • 时间:0
  • 分类:O6[理学—化学]
  • 作者机构:[1]ITODYS, CNRS UMR7086, Universite Paris 7-Denis Diderot, 1, rue Guy de la Brosse, 75005 Paris,France ITODYS, CNRS UMR7086, Universite Paris 7-Denis Diderot, 1, rue Guy de la Brosse, 75005 Paris,France, [2]Laboratory of Computer Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, 200032, P. R. China Academy of Military Medical Science, Beijing, China Laboratory of Computer Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, 200032, P. R. China ITODYS, CNRS UMR7086, Universite Paris 7-Denis Diderot, 1, rue Guy de la Brosse, 75005 Paris,France ITODYS, CNRS UMR7086, Universite Paris 7-Denis Diderot, 1, rue Guy de la Brosse, 75005 Paris,France
  • 相关基金:Supported by National Natural Science Foundation of China (29872048), CNRS (France)/CAS(China) (12475).
中文摘要:

The methods of computer-aided drug design can be divided into two categories according to whether or not the structures of receptors are known1, corresponding to two principal strategies:(1) searching the bio-active ligands against virtual combinatorial libraries and calculating the affinity energy between ligand and receptor by docking ; (2) QSAR and 3D-structure data-mining.3D-QSAR method is now applied widely to drug discovery, but this method is generally limited to refine the structures of known bio-active compounds. During the process of drug design, we have usually the prejudice that certain groups or structural fragments will play or not important roles on the activity. This will sometimes be misleading, and prevent us from obtaining expected results.The method of generating firstly diverse structures, then screening out the promising structures by means of a computational method or QSAR model, is an efficient way for drug discovery. We developed an efficient virtual and rational drag design method. It combines virtual bioactive compound generation using genetic algorithms with 3D-QSAR model and docking. Using this method can generate a lot of highly diverse molecules and find virtual active lead compounds. The method was validated by the study on a set of anti-tumor drugs, colchicine analogs2. With the constraints of pharmacophore obtained determined by DISCO, 97 virtual bioactive compounds were generated,and their anti-tumor activities were predicted by CoMFA. 8 structures with high activity were selected and screened by 3D-QSAR model. The most active generated structure was further investigated by modifying its structure in order to increase the activity (see fig.1). This drug design method could also avoid the conflict between the insufficiency of active structures and the great quantity of compounds needed for high-throughput screening. This method has been also applied to anti-HIV drug design.We have developed equally another approach of virtual screening based on molecular diversity. In the case wh

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期刊信息
  • 《合成化学》
  • 中国科技核心期刊
  • 主管单位:四川省科学技术协会
  • 主办单位:四川省化学化工学会 中国科学院成都有机化学有限公司
  • 主编:熊成东
  • 地址:成都市武侯区人民南路四段9号
  • 邮编:610041
  • 邮箱:hchx@cioc.ac.cn
  • 电话:028-85255007
  • 国际标准刊号:ISSN:1005-1511
  • 国内统一刊号:ISSN:51-1427/O6
  • 邮发代号:62-196
  • 获奖情况:
  • 1998年上C.A千名表(803位),1999年入选《中国科学引文数据库》来源期刊,1999-2002年作为《中国学术期刊综合评价数据库》...
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  • 美国化学文摘(网络版),中国中国科技核心期刊,中国北大核心期刊(2008版),中国北大核心期刊(2011版),英国英国皇家化学学会文摘
  • 被引量:7579