Literature DB >> 11128098

Modeling antimalarial activity: application of Kinetic Energy Density Quantum Similarity Measures as descriptors in QSAR.

X Gironés1, A Gallegos, R Carbó-Dorca.   

Abstract

In this work, is studied the application, within a quantum similarity framework, of the recently described Kinetic Energy Density Function in the evaluation of the antimalarial activity. First, this new type of Density Function is briefly presented from its theoretical foundations, and its inclusion in the molecular quantum similarity is discussed afterward. The application of Kinetic Energy-based Quantum Similarity Measures to QSAR is tested with 2 molecular sets composed of artemisinin derivatives, in which the 50% inhibition of synthesis and reduction of hidrofolate (IC50) in different Plasmodium falciparum clones are analyzed. Satisfactory correlations are obtained for all antimalarial activities in all studied molecular sets. Molecular Quantum Similarity analysis provides a consistent, unbiased, and homogeneous set of molecular descriptors and is a feasible alternative to the use of classical physicochemical descriptors.

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Year:  2000        PMID: 11128098     DOI: 10.1021/ci0004558

Source DB:  PubMed          Journal:  J Chem Inf Comput Sci        ISSN: 0095-2338


  5 in total

1.  Predictive QSAR modeling based on diversity sampling of experimental datasets for the training and test set selection.

Authors:  Alexander Golbraikh; Alexander Tropsha
Journal:  J Comput Aided Mol Des       Date:  2002 May-Jun       Impact factor: 3.686

2.  Antimalarial activity of synthetic 1,2,4-trioxanes and cyclic peroxy ketals, a quantum similarity study.

Authors:  X Gironés; A Gallegos; R Carbó-Dorca
Journal:  J Comput Aided Mol Des       Date:  2001-12       Impact factor: 3.686

3.  Predictive QSAR modeling based on diversity sampling of experimental datasets for the training and test set selection.

Authors:  Alexander Golbraikh; Alexander Tropsha
Journal:  Mol Divers       Date:  2002       Impact factor: 2.943

4.  Rational selection of training and test sets for the development of validated QSAR models.

Authors:  Alexander Golbraikh; Min Shen; Zhiyan Xiao; Yun-De Xiao; Kuo-Hsiung Lee; Alexander Tropsha
Journal:  J Comput Aided Mol Des       Date:  2003 Feb-Apr       Impact factor: 3.686

5.  Development of quantitative structure-binding affinity relationship models based on novel geometrical chemical descriptors of the protein-ligand interfaces.

Authors:  Shuxing Zhang; Alexander Golbraikh; Alexander Tropsha
Journal:  J Med Chem       Date:  2006-05-04       Impact factor: 7.446

  5 in total

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