Literature DB >> 16610785

Catalytic site prediction and virtual screening of cytochrome P450 2D6 substrates by consideration of water and rescoring in automated docking.

Chris de Graaf1, Chris Oostenbrink, Peter H J Keizers, Tushar van der Wijst, Aldo Jongejan, Nico P E Vermeulen.   

Abstract

Automated docking strategies successfully applied to binding mode predictions of ligands in Cyt P450 crystal structures in an earlier study (de Graaf et al. J. Med. Chem. 2005, 7, 2308-2318) were used for the catalytic site prediction (CSP) of 65 substrates in a CYP2D6 homology model. The consideration of water molecules at predicted positions in the active site and the rescoring of pooled docking poses from four different docking programs (AutoDock, FlexX, GOLD-Goldscore, and GOLD-Chemscore) with the SCORE scoring function enabled the successful prediction of experimentally reported sites of catalysis of more than 80% of the substrates. Three docking algorithms (FlexX, GOLD-Goldscore, and GOLD-Chemscore) were subsequently used in combination with six scoring functions (Chemscore, DOCK, FlexX, GOLD, PMF, and SCORE) to assess the ability of docking-based virtual screening methods to prioritize known CYP2D6 substrates seeded into a drug-like chemical database (in the absence and presence of active-site water molecules). Finally, the optimal docking strategy in terms of virtual screening accuracy, GOLD-Chemscore with the consideration of active-site water (60% of known substrates recovered in the top 5% of the ranked drug-like database), was verified experimentally; it was successfully used to identify high-affinity CYP2D6 ligands among a larger proprietary database.

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Year:  2006        PMID: 16610785     DOI: 10.1021/jm0508538

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


  26 in total

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3.  The dynamics of camphor in the cytochrome P450 CYP101D2.

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4.  Protein and ligand preparation: parameters, protocols, and influence on virtual screening enrichments.

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Journal:  J Comput Aided Mol Des       Date:  2013-04-12       Impact factor: 3.686

5.  Using a homology model of cytochrome P450 2D6 to predict substrate site of metabolism.

Authors:  Rayomand J Unwalla; Jason B Cross; Sumeet Salaniwal; Adam D Shilling; Louis Leung; John Kao; Christine Humblet
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6.  IDSite: An accurate approach to predict P450-mediated drug metabolism.

Authors:  Jianing Li; Severin T Schneebeli; Joseph Bylund; Ramy Farid; Richard A Friesner
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7.  Virtual ligand screening against comparative protein structure models.

Authors:  Hao Fan; John J Irwin; Andrej Sali
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8.  Ligand-Based Site of Metabolism Prediction for Cytochrome P450 2D6.

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Journal:  ACS Med Chem Lett       Date:  2011-11-07       Impact factor: 4.345

Review 9.  Considerations and recent advances in QSAR models for cytochrome P450-mediated drug metabolism prediction.

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Journal:  J Comput Aided Mol Des       Date:  2008-06-24       Impact factor: 3.686

10.  Molecular docking screens using comparative models of proteins.

Authors:  Hao Fan; John J Irwin; Benjamin M Webb; Gerhard Klebe; Brian K Shoichet; Andrej Sali
Journal:  J Chem Inf Model       Date:  2009-11       Impact factor: 4.956

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