Literature DB >> 11712499

Chem-bioinformatics and QSAR: a review of QSAR lacking positive hydrophobic terms.

C Hansch1, A Kurup, R Garg, H Gao.   

Abstract

Mesh：

Year:  2001        PMID： 11712499     DOI： 10.1021/cr0000067

Source DB:  PubMed          Journal:  Chem Rev        ISSN： 0009-2665            Impact factor:   60.622


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  26 in total

1.  C-QSAR: a database of 18,000 QSARs and associated biological and physical data.

Authors:  Alka Kurup
Journal:  J Comput Aided Mol Des       Date:  2003 Feb-Apr       Impact factor: 3.686

Review 2.  Genetic algorithm optimization in drug design QSAR: Bayesian-regularized genetic neural networks (BRGNN) and genetic algorithm-optimized support vectors machines (GA-SVM).

Authors:  Michael Fernandez; Julio Caballero; Leyden Fernandez; Akinori Sarai
Journal:  Mol Divers       Date:  2010-03-20       Impact factor: 2.943

3.  A novel automated lazy learning QSAR (ALL-QSAR) approach: method development, applications, and virtual screening of chemical databases using validated ALL-QSAR models.

Authors:  Shuxing Zhang; Alexander Golbraikh; Scott Oloff; Harold Kohn; Alexander Tropsha
Journal:  J Chem Inf Model       Date:  2006 Sep-Oct       Impact factor: 4.956

4.  QSAR modeling of AT1 receptor antagonists using ANN.

Authors:  Qing Su; Lu Zhou
Journal:  J Mol Model       Date:  2006-03-16       Impact factor: 1.810

Review 5.  Fragment-based QSAR: perspectives in drug design.

Authors:  Lívia B Salum; Adriano D Andricopulo
Journal:  Mol Divers       Date:  2009-01-31       Impact factor: 2.943

Review 6.  Modeling kinetics of subcellular disposition of chemicals.

Authors:  Stefan Balaz
Journal:  Chem Rev       Date:  2009-05       Impact factor: 60.622

Review 7.  How medicinal chemists learned about log P.

Authors:  Yvonne Connolly Martin
Journal:  J Comput Aided Mol Des       Date:  2018-07-17       Impact factor: 3.686

8.  A systematic investigation of quaternary ammonium ions as asymmetric phase-transfer catalysts. Application of quantitative structure activity/selectivity relationships.

Authors:  Scott E Denmark; Nathan D Gould; Larry M Wolf
Journal:  J Org Chem       Date:  2011-05-06       Impact factor: 4.354

Review 9.  Hydrophobicity--shake flasks, protein folding and drug discovery.

Authors:  Aurijit Sarkar; Glen E Kellogg
Journal:  Curr Top Med Chem       Date:  2010       Impact factor: 3.295

10.  A combined bioinformatics and chemoinformatics approach for developing asymmetric bivalent AMPA receptor positive allosteric modulators as neuroprotective agents.

Authors:  Haijun Chen; Cheng Z Wang; Chunyong Ding; Christopher Wild; Bryan Copits; Geoffrey T Swanson; Kenneth M Johnson; Jia Zhou
Journal:  ChemMedChem       Date:  2012-12-20       Impact factor: 3.466
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