Literature DB >> 8021917

Three-dimensional pharmacophores from binding data.

A M Doweyko1.   

Abstract

The application of HASL (hypothetical active site lattice) methodology has been successfully extended to generate putative pharmacophoric patterns in three dimensions capable of quantitatively predicting binding activity. The transformation of a HASL model to a pharmacophore is illustrated using pKi values published for 84 HIV-1 protease inhibitors. Starting with a HASL model generated at 2.00 A and containing 899 lattice points, a selective trimming process was used to identify significant lattice points. In this manner, a set of 11 points was found which represents a potential pharmacophoric pattern and predicts the pKi activity of the 84-inhibitor set with a correlation (r2) of 0.827. Furthermore, the locations of these points were found to coincide with a number of strategic binding areas within the known active site structure HIV-1 protease, thus providing a physical confirmation of their relevancy.

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Year:  1994        PMID: 8021917     DOI: 10.1021/jm00038a006

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  7 in total

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2.  Inhibition and substrate recognition--a computational approach applied to HIV protease.

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4.  Solvent accessibility as a predictive tool for the free energy of inhibitor binding to the HIV-1 protease.

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5.  Comparison of 3D quantitative structure-activity relationship methods: analysis of the in vitro antimalarial activity of 154 artemisinin analogues by hypothetical active-site lattice and comparative molecular field analysis.

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Journal:  J Comput Aided Mol Des       Date:  1998-03       Impact factor: 3.686

6.  3D-QSAR using 'multiconformer' alignment: the use of HASL in the analysis of 5-HT1A thienopyrimidinone ligands.

Authors:  S Guccione; A M Doweyko; H Chen; G U Barretta; F Balzano
Journal:  J Comput Aided Mol Des       Date:  2000-10       Impact factor: 3.686

7.  Comparison of Different 2D and 3D-QSAR Methods on Activity Prediction of Histamine H3 Receptor Antagonists.

Authors:  Siavoush Dastmalchi; Maryam Hamzeh-Mivehroud; Karim Asadpour-Zeynali
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  7 in total

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