Literature DB >> 17384921

Development, interpretation and temporal evaluation of a global QSAR of hERG electrophysiology screening data.

Claire L Gavaghan1, Catrin Hasselgren Arnby, Niklas Blomberg, Gert Strandlund, Scott Boyer.   

Abstract

A 'global' model of hERG K(+) channel was built to satisfy three basic criteria for QSAR models in drug discovery: (1) assessment of the applicability domain, (2) assuring that model decisions can be interpreted by medicinal chemists and (3) assessment of model performance after the model was built. A combination of D-optimal onion design and hierarchical partial least squares modelling was applied to construct a global model of hERG blockade in order to maximize the applicability domain of the model and to enhance its interpretability. Additionally, easily interpretable hERG specific fragment-based descriptors were developed. Model performance was monitored, throughout a time period of 15 months, after model implementation. It was found that after this time duration a greater proportion of molecules were outside the model's applicability domain and that these compounds had a markedly higher average prediction error than those from molecules within the model's applicability domain. The model's predictive performance deteriorated within 4 months after building, illustrating the necessity of regular updating of global models within a drug discovery environment.

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Year:  2007        PMID: 17384921     DOI: 10.1007/s10822-006-9095-6

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  34 in total

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Review 5.  Nonclinical proarrhythmia models: predicting Torsades de Pointes.

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6.  Development and evaluation of an in silico model for hERG binding.

Authors:  Minghu Song; Matthew Clark
Journal:  J Chem Inf Model       Date:  2006 Jan-Feb       Impact factor: 4.956

Review 7.  Use of in vitro methods to predict QT prolongation.

Authors:  T G Hammond; C E Pollard
Journal:  Toxicol Appl Pharmacol       Date:  2005-09-01       Impact factor: 4.219

Review 8.  QT prolongation through hERG K(+) channel blockade: current knowledge and strategies for the early prediction during drug development.

Authors:  Maurizio Recanatini; Elisabetta Poluzzi; Matteo Masetti; Andrea Cavalli; Fabrizio De Ponti
Journal:  Med Res Rev       Date:  2005-03       Impact factor: 12.944

Review 9.  Acquired QT interval prolongation and HERG: implications for drug discovery and development.

Authors:  Keith Finlayson; Harry J Witchel; James McCulloch; John Sharkey
Journal:  Eur J Pharmacol       Date:  2004-10-01       Impact factor: 4.432

10.  Toward a pharmacophore for drugs inducing the long QT syndrome: insights from a CoMFA study of HERG K(+) channel blockers.

Authors:  Andrea Cavalli; Elisabetta Poluzzi; Fabrizio De Ponti; Maurizio Recanatini
Journal:  J Med Chem       Date:  2002-08-29       Impact factor: 7.446

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Journal:  J Comput Aided Mol Des       Date:  2007-11-22       Impact factor: 3.686

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3.  On the interpretation and interpretability of quantitative structure-activity relationship models.

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4.  Compilation and physicochemical classification analysis of a diverse hERG inhibition database.

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5.  Computer-aided estimation of the hERG-mediated cardiotoxicity risk of potential drug components.

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7.  ADMET evaluation in drug discovery. 12. Development of binary classification models for prediction of hERG potassium channel blockage.

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8.  Novel Bayesian classification models for predicting compounds blocking hERG potassium channels.

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Journal:  Acta Pharmacol Sin       Date:  2014-06-30       Impact factor: 6.150

9.  Rank order entropy: why one metric is not enough.

Authors:  Margaret R McLellan; M Dominic Ryan; Curt M Breneman
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10.  Tuning HERG out: antitarget QSAR models for drug development.

Authors:  Rodolpho C Braga; Vinicius M Alves; Meryck F B Silva; Eugene Muratov; Denis Fourches; Alexander Tropsha; Carolina H Andrade
Journal:  Curr Top Med Chem       Date:  2014       Impact factor: 3.295

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