2003
DOI: 10.1080/1062936032000101493
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Virtual screening and rational drug design method using structure generation system based on 3D-QSAR and docking

Abstract: An efficient virtual and rational drug design method is presented. It combines virtual bioactive compound generation with 3D-QSAR model and docking. Using this method, it is possible to generate a lot of highly diverse molecules and find virtual active lead compounds. The method was validated by the study of a set of anti-tumor drugs. With the constraints of pharmacophore obtained by DISCO implemented in SYBYL 6.8, 97 virtual bioactive compounds were generated, and their anti-tumor activities were predicted by… Show more

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Cited by 8 publications
(5 citation statements)
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“…Current strategies identify small molecule lead compounds that bind to protein targets by screening arrays of various sorts (56). Lead compounds are also identified upon the basis of predicted 3-D structures (57,58). Once the 3-D structure is determined, custom design of small molecules against selected domains can proceed.…”
Section: Discussionmentioning
confidence: 99%
“…Current strategies identify small molecule lead compounds that bind to protein targets by screening arrays of various sorts (56). Lead compounds are also identified upon the basis of predicted 3-D structures (57,58). Once the 3-D structure is determined, custom design of small molecules against selected domains can proceed.…”
Section: Discussionmentioning
confidence: 99%
“…Understanding the spatial relationship of functional groups of different molecules is necessary to develop three-dimensional (3D) pharmacophore hypotheses. Such hypotheses have been utilized in various aspects of drug design, such as structure−activity-relationship (SAR) rationalization and design, in silico screening, and scaffold hopping. The development of a three-dimensional pharmacophore model involves the generation of conformations of molecules and overlaying them using algorithms to maximize an objective function such as shape, functional group, and property distribution overlap. There are a number of commercially available software packages which perform this task, including FlexS, ROCS, Catalyst, Seal, and MIMIC …”
Section: Introductionmentioning
confidence: 99%
“…Because the electronegativity at position 3 have potent relationship with anti-HIV activity, we design a series of mono-, di-, and trisubstituted DCK analogues by taking into account of this factor, such as 3-nitromethyl (CH 2 NO 2 ), 3-cyanomethyl (CH 2 CN), 3-methylcarbamate (CH 2 OCONH 2 ), 3-hydroxymethyl (CH 2 OH) and halides (X). All designed new compounds, generated using previously developed structure generation system [38], were then predicted with SVM models for their activity against HIV replication, as shown in Table 4. The log P, HOMO and LUMO values were equally calculated with HYPERCHEM 7.0.…”
Section: Design Of New Compoundsmentioning
confidence: 99%