Literature DB >> 12635813

Baseline lipophilicity relationships in human cytochromes P450 associated with drug metabolism.

David F V Lewis1, Maruice Dickins.   

Abstract

From analyses of human P450 substrates and their physicochemical properties, it is apparent that baseline lipophilicity relationships exist for over 70 substrates of eight drug-metabolizing P450 enzymes from families CYP1, CYP2, and CYP3. Equations of the general form shown below result in all cases investigated thus far: deltaG(bind) = adeltaG(part) + b where a is the slope of the line which can be termed the hydrophobicity factor of the enzyme active site, possibly being related to the extent of hydrophobic amino acid residues lining the heme pocket; b is the intercept on the y axis and can be regarded as the sum of nonhydrophobic interactions between enzyme and substrate; deltaG(bind) is the free energy change for substrate binding to P450, based on the relationship deltaG(bind) = RTlnKm where Km is the Michaelis constant, and deltaG(part) is the free energy change for partitioning between n-octanol and water based on the relationship deltaG(part) = -RTlnP where P is the n-octanol/water partition coefficient. These findings facilitate the analysis of P450 enzyme-substrate binding interactions and provide information about the likely hydrophobic character of human P450 active site regions. This shows that there are common interactions for certain numbers of substrates in each case composed of hydrogen bonding and pi-pi stacking, the extent of which varies from one P450 enzyme to another.

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Year:  2003        PMID: 12635813     DOI: 10.1081/dmr-120018245

Source DB:  PubMed          Journal:  Drug Metab Rev        ISSN: 0360-2532            Impact factor:   4.518


  5 in total

1.  Calibration of the channel that determines the omega-hydroxylation regiospecificity of cytochrome P4504A1: catalytic oxidation of 12-HALODOdecanoic acids.

Authors:  Xiang He; Max J Cryle; James J Ortiz De Voss; Paul R de Montellano
Journal:  J Biol Chem       Date:  2005-04-22       Impact factor: 5.157

2.  Quantitative structure-activity relationships (QSARs) within the cytochrome P450 system: QSARs describing substrate binding, inhibition and induction of P450s.

Authors:  David F V Lewis
Journal:  Inflammopharmacology       Date:  2003       Impact factor: 4.473

3.  Quantitative Property-Property Relationship for Screening-Level Prediction of Intrinsic Clearance of Volatile Organic Chemicals in Rats and Its Integration within PBPK Models to Predict Inhalation Pharmacokinetics in Humans.

Authors:  Thomas Peyret; Kannan Krishnan
Journal:  J Toxicol       Date:  2012-05-22

Review 4.  Descriptors of Cytochrome Inhibitors and Useful Machine Learning Based Methods for the Design of Safer Drugs.

Authors:  Tyler C Beck; Kyle R Beck; Jordan Morningstar; Menny M Benjamin; Russell A Norris
Journal:  Pharmaceuticals (Basel)       Date:  2021-05-17

Review 5.  Drug metabolism in drug discovery and development.

Authors:  Zhoupeng Zhang; Wei Tang
Journal:  Acta Pharm Sin B       Date:  2018-04-12       Impact factor: 11.413

  5 in total

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