Literature DB >> 11408357

Pharmacophore and three-dimensional quantitative structure activity relationship methods for modeling cytochrome p450 active sites.

S Ekins1, M J de Groot, J P Jones.   

Abstract

Structure activity relationships (SAR), three-dimensional structure activity relationships (3D-QSAR), and pharmacophores represent useful tools in understanding cytochrome P450 (CYP) active sites in the absence of crystal structures for these human enzymes. These approaches have developed over the last 30 years such that they are now being applied in numerous industrial and academic laboratories solely for this purpose. Such computational approaches have helped in understanding substrate and inhibitor binding to the major human CYPs 1A2, 2B6, 2C9, 2D6, 3A4 as well as other CYPs and additionally complement homology models for these enzymes. Similarly, these approaches may assist in our understanding of CYP induction. This review describes in detail the development of pharmacophores and 3D-QSAR techniques, which are now being more widely used for modeling CYPs; the review will also describe how such approaches are likely to further impact our active site knowledge of these omnipresent and important enzymes.

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Year:  2001        PMID: 11408357

Source DB:  PubMed          Journal:  Drug Metab Dispos        ISSN: 0090-9556            Impact factor:   3.922


  35 in total

1.  Exploration of the binding of curcumin analogues to human P450 2C9 based on docking and molecular dynamics simulation.

Authors:  Rongwei Shi; Yin Wang; Xiaolei Zhu; Xiaohua Lu
Journal:  J Mol Model       Date:  2011-11-12       Impact factor: 1.810

Review 2.  A ligand-based approach to understanding selectivity of nuclear hormone receptors PXR, CAR, FXR, LXRalpha, and LXRbeta.

Authors:  Sean Ekins; Leonid Mirny; Erin G Schuetz
Journal:  Pharm Res       Date:  2002-12       Impact factor: 4.200

3.  Discriminant and quantitative PLS analysis of competitive CYP2C9 inhibitors versus non-inhibitors using alignment independent GRIND descriptors.

Authors:  Lovisa Afzelius; Collen M Masimirembwa; Anders Karlén; Tommy B Andersson; Ismael Zamora
Journal:  J Comput Aided Mol Des       Date:  2002-07       Impact factor: 3.686

4.  High-throughput screening assays for CYP2B6 metabolism and inhibition using fluorogenic vivid substrates.

Authors:  Bryan D Marks; Tony A Goossens; Heidi A Braun; Mary S Ozers; Ronald W Smith; Connie Lebakken; Olga V Trubetskoy
Journal:  AAPS PharmSci       Date:  2003

5.  Line-walking method for predicting the inhibition of P450 drug metabolism.

Authors:  Matthew G Hudelson; Jeffrey P Jones
Journal:  J Med Chem       Date:  2006-07-13       Impact factor: 7.446

6.  Generation of in-silico cytochrome P450 1A2, 2C9, 2C19, 2D6, and 3A4 inhibition QSAR models.

Authors:  M Paul Gleeson; Andrew M Davis; Kamaldeep K Chohan; Stuart W Paine; Scott Boyer; Claire L Gavaghan; Catrin Hasselgren Arnby; Cecilia Kankkonen; Nan Albertson
Journal:  J Comput Aided Mol Des       Date:  2007-11-22       Impact factor: 3.686

7.  Empirical regioselectivity models for human cytochromes P450 3A4, 2D6, and 2C9.

Authors:  Robert P Sheridan; Kenneth R Korzekwa; Rhonda A Torres; Matthew J Walker
Journal:  J Med Chem       Date:  2007-06-19       Impact factor: 7.446

8.  Evaluation of descriptors and classification schemes to predict cytochrome substrates in terms of chemical information.

Authors:  John H Block; Douglas R Henry
Journal:  J Comput Aided Mol Des       Date:  2008-01-23       Impact factor: 3.686

9.  Molecular modeling study on chemically diverse series of cyclooxygenase-2 selective inhibitors: generation of predictive pharmacophore model using catalyst.

Authors:  Madhu Chopra; Ruby Gupta; Swati Gupta; Daman Saluja
Journal:  J Mol Model       Date:  2008-07-30       Impact factor: 1.810

Review 10.  Modeling kinetics of subcellular disposition of chemicals.

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

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