Literature DB >> 9334905

Three-dimensional modelling of human cytochrome P450 1A2 and its interaction with caffeine and MeIQ.

J J Lozano1, E López-de-Briñas, N B Centeno, R Guigó, F Sanz.   

Abstract

The three-dimensional modelling of proteins is a useful tool to fill the gap between the number of sequenced proteins and the number of experimentally known 3D structures. However, when the degree of homology between the protein and the available 3D templates is low, model building becomes a difficult task and the reliability of the results depends critically on the correctness of the sequence alignment. For this reason, we have undertaken the modelling of human cytochrome P450 1A2 starting by a careful analysis of several sequence alignment strategies (multiple sequence alignments and the TOPITS threading technique). The best results were obtained using TOPITS followed by a manual refinement to avoid unlikely gaps. Because TOPITS uses secondary structure predictions, several methods that are available for this purpose (Levin, Gibrat, DPM, NnPredict, PHD, SOPM and NNSP) have also been evaluated on cytochromes P450 with known 3D structures. More reliable predictions on alpha-helices have been obtained with PHD, which is the method implemented in TOPITS. Thus, a 3D model for human cytochrome P450 1A2 has been built using the known crystal coordinates of P450 BM3 as the template. The model was refined using molecular mechanics computations. The model obtained shows a consistent location of the substrate recognition segments previously postulated for the CYP2 family members. The interaction of caffeine and a carcinogenic aromatic amine (MeIQ), which are characteristic P450 1A2 substrates, has been investigated. The substrates were solvated taking into account their molecular electrostatic potential distributions. The docking of the solvated substrates in the active site of the model was explored with the AUTODOCK programme, followed by molecular mechanics optimisation of the most interesting complexes. Stable complexes were obtained that could explain the oxidation of the considered substrates by cytochrome P450 1A2 and could offer an insight into the role played by water molecules.

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Year:  1997        PMID: 9334905     DOI: 10.1023/a:1007947411145

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


  57 in total

1.  WHAT IF: a molecular modeling and drug design program.

Authors:  G Vriend
Journal:  J Mol Graph       Date:  1990-03

2.  Improvements in protein secondary structure prediction by an enhanced neural network.

Authors:  D G Kneller; F E Cohen; R Langridge
Journal:  J Mol Biol       Date:  1990-07-05       Impact factor: 5.469

3.  Secondary structure prediction of 52 membrane-bound cytochromes P450 shows a strong structural similarity to P450cam.

Authors:  D R Nelson; H W Strobel
Journal:  Biochemistry       Date:  1989-01-24       Impact factor: 3.162

4.  High-resolution crystal structure of cytochrome P450cam.

Authors:  T L Poulos; B C Finzel; A J Howard
Journal:  J Mol Biol       Date:  1987-06-05       Impact factor: 5.469

5.  Biotransformation of caffeine by microsomes from human liver. Kinetics and inhibition studies.

Authors:  D M Grant; M E Campbell; B K Tang; W Kalow
Journal:  Biochem Pharmacol       Date:  1987-04-15       Impact factor: 5.858

6.  The cytochrome P450 1A2 active site: topology and perturbations caused by glutamic acid-318 and threonine-319 mutations.

Authors:  S F Tuck; K Hiroya; T Shimizu; M Hatano; P R Ortiz de Montellano
Journal:  Biochemistry       Date:  1993-03-16       Impact factor: 3.162

7.  Crystal structures of metyrapone- and phenylimidazole-inhibited complexes of cytochrome P-450cam.

Authors:  T L Poulos; A J Howard
Journal:  Biochemistry       Date:  1987-12-15       Impact factor: 3.162

8.  Molecular dynamics studies of a DNA-binding protein: 2. An evaluation of implicit and explicit solvent models for the molecular dynamics simulation of the Escherichia coli trp repressor.

Authors:  J Guenot; P A Kollman
Journal:  Protein Sci       Date:  1992-09       Impact factor: 6.725

9.  Modeling cytochrome P450 14 alpha demethylase (Candida albicans) from P450cam.

Authors:  P E Boscott; G H Grant
Journal:  J Mol Graph       Date:  1994-09

10.  Human liver microsomal cytochrome P-450 enzymes involved in the bioactivation of procarcinogens detected by umu gene response in Salmonella typhimurium TA 1535/pSK1002.

Authors:  T Shimada; M Iwasaki; M V Martin; F P Guengerich
Journal:  Cancer Res       Date:  1989-06-15       Impact factor: 12.701

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  5 in total

1.  Theoretical investigation of substrate specificity for cytochromes P450 IA2, P450 IID6 and P450 IIIA4.

Authors:  F De Rienzo; F Fanelli; M C Menziani; P G De Benedetti
Journal:  J Comput Aided Mol Des       Date:  2000-01       Impact factor: 3.686

2.  Modeling the interactions of a peptide-major histocompatibility class I ligand with its receptors. I. Recognition by two alpha beta T cell receptors.

Authors:  D Rognan; A Stryhn; L Fugger; S Lyngbaek; J Engberg; P S Andersen; S Buus
Journal:  J Comput Aided Mol Des       Date:  2000-01       Impact factor: 3.686

3.  3D-QSAR methods on the basis of ligand-receptor complexes. Application of COMBINE and GRID/GOLPE methodologies to a series of CYP1A2 ligands.

Authors:  J J Lozano; M Pastor; G Cruciani; K Gaedt; N B Centeno; F Gago; F Sanz
Journal:  J Comput Aided Mol Des       Date:  2000-05       Impact factor: 3.686

4.  Construction of 3D models of the CYP11B family as a tool to predict ligand binding characteristics.

Authors:  Luc Roumen; Marijn P A Sanders; Koen Pieterse; Peter A J Hilbers; Ralf Plate; Erica Custers; Marcel de Gooyer; Jos F M Smits; Ilona Beugels; Judith Emmen; Harry C J Ottenheijm; Dirk Leysen; J J R Hermans
Journal:  J Comput Aided Mol Des       Date:  2007-07-24       Impact factor: 3.686

Review 5.  Structure-Based Drug Design for Cytochrome P450 Family 1 Inhibitors.

Authors:  Zbigniew Dutkiewicz; Renata Mikstacka
Journal:  Bioinorg Chem Appl       Date:  2018-07-25       Impact factor: 7.778

  5 in total

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