Literature DB >> 11814811

A neural network based virtual screening of cytochrome P450 3A4 inhibitors.

László Molnar1, György M Keseru.   

Abstract

A virtual screening test to identify potential CP450 3A4 inhibitors has been developed. Molecular structures of inhibitors and non-inhibitors available in the Genetest database were represented using 2D Unity fingerprints and a feedforward neural network was trained to classify molecules regarding their inhibitory activity. Validation tests revealed that our neural net recognizes at least 89% of 3A4 inhibitors and suggest using this methodology in our virtual screening protocol.

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Year:  2002        PMID: 11814811     DOI: 10.1016/s0960-894x(01)00771-5

Source DB:  PubMed          Journal:  Bioorg Med Chem Lett        ISSN: 0960-894X            Impact factor:   2.823


  7 in total

1.  A support vector machine approach to classify human cytochrome P450 3A4 inhibitors.

Authors:  Jan M Kriegl; Thomas Arnhold; Bernd Beck; Thomas Fox
Journal:  J Comput Aided Mol Des       Date:  2005-03       Impact factor: 3.686

Review 2.  Modeling kinetics of subcellular disposition of chemicals.

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

3.  Molecular fingerprint-based artificial neural networks QSAR for ligand biological activity predictions.

Authors:  Kyaw-Zeyar Myint; Lirong Wang; Qin Tong; Xiang-Qun Xie
Journal:  Mol Pharm       Date:  2012-08-31       Impact factor: 4.939

4.  Ligand biological activity predictions using fingerprint-based artificial neural networks (FANN-QSAR).

Authors:  Kyaw Z Myint; Xiang-Qun Xie
Journal:  Methods Mol Biol       Date:  2015

5.  Predicting CYP2C19 catalytic parameters for enantioselective oxidations using artificial neural networks and a chirality code.

Authors:  Jessica H Hartman; Steven D Cothren; Sun-Ha Park; Chul-Ho Yun; Jerry A Darsey; Grover P Miller
Journal:  Bioorg Med Chem       Date:  2013-04-22       Impact factor: 3.641

Review 6.  Considerations and recent advances in QSAR models for cytochrome P450-mediated drug metabolism prediction.

Authors:  Haiyan Li; Jin Sun; Xiaowen Fan; Xiaofan Sui; Lan Zhang; Yongjun Wang; Zhonggui He
Journal:  J Comput Aided Mol Des       Date:  2008-06-24       Impact factor: 3.686

7.  Artificial neural network cascade identifies multi-P450 inhibitors in natural compounds.

Authors:  Zhangming Li; Yan Li; Lu Sun; Yun Tang; Lanru Liu; Wenliang Zhu
Journal:  PeerJ       Date:  2015-12-21       Impact factor: 2.984

  7 in total

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