Literature DB >> 14741015

CoMFA modeling of human catechol O-methyltransferase enzyme kinetics.

Julius Sipilä1, Jyrki Taskinen.   

Abstract

Three-dimensional QSAR models with different charge calculation methods (MOPAC-AM1-ESP, MOPAC-AM1-Coulson and Gasteiger-Hückel) were developed for predicting all three enzyme kinetic parameters Km, Vmax and Vmax/Km for catecholic substrates of human soluble catechol O-methyltransferase (S-COMT). The empirical parameters of 45 substrates were correlated to the steric and electronic molecular fields of the substrates utilizing Comparative Molecular Field Analysis (CoMFA). Alignment rules for CoMFA were developed based on the catalytic mechanism and crystal structure of S-COMT, and the analysis was optimized using an all-space search technique. Leave-one-out and leave-n-out cross-validation (with 5 and 10 cross-validation groups) was carried out, and all developed models proved to be statistically significant with q2 values up to 0.84. The models based on MOPAC charge calculations predicted the empirical values clearly better than the Gasteiger-Hückel method. The derived CoMFA coefficient contour maps of steric and electrostatic interactions correlated clearly with the S-COMT crystallographic structures.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 14741015     DOI: 10.1021/ci034189k

Source DB:  PubMed          Journal:  J Chem Inf Comput Sci        ISSN: 0095-2338


  4 in total

1.  Homology modeling and metabolism prediction of human carboxylesterase-2 using docking analyses by GriDock: a parallelized tool based on AutoDock 4.0.

Authors:  Giulio Vistoli; Alessandro Pedretti; Angelica Mazzolari; Bernard Testa
Journal:  J Comput Aided Mol Des       Date:  2010-07-11       Impact factor: 3.686

2.  Crystal structure of Rv1220c, a SAM-dependent O-methyltransferase from Mycobacterium tuberculosis.

Authors:  Qiaoling Yan; Neil Shaw; Lanfang Qian; Dunquan Jiang
Journal:  Acta Crystallogr F Struct Biol Commun       Date:  2017-05-11       Impact factor: 1.056

Review 3.  Antihypertensive drugs metabolism: an update to pharmacokinetic profiles and computational approaches.

Authors:  Aikaterini Zisaki; Ljubisa Miskovic; Vassily Hatzimanikatis
Journal:  Curr Pharm Des       Date:  2015       Impact factor: 3.116

Review 4.  In silico pharmacology for drug discovery: applications to targets and beyond.

Authors:  S Ekins; J Mestres; B Testa
Journal:  Br J Pharmacol       Date:  2007-06-04       Impact factor: 8.739

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.