Literature DB >> 15124929

A structure-activity relationship study of catechol-O-methyltransferase inhibitors combining molecular docking and 3D QSAR methods.

Anu J Tervo1, Tommi H Nyrönen, Toni Rönkkö, Antti Poso.   

Abstract

A panel of 92 catechol-O-methyltransferase (COMT) inhibitors was used to examine the molecular interactions affecting their biological activity. COMT inhibitors are used as therapeutic agents in the treatment of Parkinson's disease, but there are limitations in the currently marketed compounds due to adverse side effects. This study combined molecular docking methods with three-dimensional structure-activity relationships (3D QSAR) to analyse possible interactions between COMT and its inhibitors, and to incite the design of new inhibitors. Comparative molecular field analysis (CoMFA) and GRID/GOLPE models were made by using bioactive conformations from docking experiments, which yielded q2 values of 0.594 and 0.636, respectively. The docking results, the COMT X-ray structure, and the 3D QSAR models are in agreement with each other. The models suggest that an interaction between the inhibitor's catechol oxygens and the Mg2+ ion in the COMT active site is important. Both hydrogen bonding with Lys144, Asn170 and Glu199, and hydrophobic contacts with Trp38, Pro174 and Leu198 influence inhibitor binding. Docking suggests that a large R1 substituent of the catechol ring can form hydrophobic contacts with side chains of Val173, Leu198, Met201 and Val203 on the COMT surface. Our models propose that increasing steric volume of e.g. the diethylamine tail of entacapone is favourable for COMT inhibitory activity.

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 15124929     DOI: 10.1023/b:jcam.0000021831.47952.a7

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


  27 in total

1.  The Protein Data Bank.

Authors:  H M Berman; J Westbrook; Z Feng; G Gilliland; T N Bhat; H Weissig; I N Shindyalov; P E Bourne
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

Review 2.  Catechol-O-methyl transferase: pharmacological aspects and physiological role.

Authors:  H C Guldberg; C A Marsden
Journal:  Pharmacol Rev       Date:  1975-06       Impact factor: 25.468

3.  Receptor-based 3D QSAR analysis of estrogen receptor ligands--merging the accuracy of receptor-based alignments with the computational efficiency of ligand-based methods.

Authors:  W Sippl
Journal:  J Comput Aided Mol Des       Date:  2000-08       Impact factor: 3.686

4.  PLS modelling of structure-activity relationships of catechol O-methyltransferase inhibitors.

Authors:  T Lotta; J Taskinen; R Bäckström; E Nissinen
Journal:  J Comput Aided Mol Des       Date:  1992-06       Impact factor: 3.686

Review 5.  New, selective catechol-O-methyltransferase inhibitors as therapeutic agents in Parkinson's disease.

Authors:  V Bonifati; G Meco
Journal:  Pharmacol Ther       Date:  1999-01       Impact factor: 12.310

6.  Smart region definition: a new way to improve the predictive ability and interpretability of three-dimensional quantitative structure-activity relationships.

Authors:  M Pastor; G Cruciani; S Clementi
Journal:  J Med Chem       Date:  1997-05-09       Impact factor: 7.446

Review 7.  Catechol-O-methyltransferase (COMT): biochemistry, molecular biology, pharmacology, and clinical efficacy of the new selective COMT inhibitors.

Authors:  P T Männistö; S Kaakkola
Journal:  Pharmacol Rev       Date:  1999-12       Impact factor: 25.468

Review 8.  Tolcapone: a novel approach to Parkinson's disease.

Authors:  S T Micek; M E Ernst
Journal:  Am J Health Syst Pharm       Date:  1999-11-01       Impact factor: 2.637

9.  Three-dimensional quantitative structure-activity relationships of steroid aromatase inhibitors.

Authors:  T I Oprea; A E García
Journal:  J Comput Aided Mol Des       Date:  1996-06       Impact factor: 3.686

10.  CoMFA and CoMSIA 3D QSAR and docking studies on conformationally-restrained cinnamoyl HIV-1 integrase inhibitors: exploration of a binding mode at the active site.

Authors:  John K Buolamwini; Haregewein Assefa
Journal:  J Med Chem       Date:  2002-02-14       Impact factor: 7.446

View more
  7 in total

Review 1.  Nitrile-containing pharmaceuticals: efficacious roles of the nitrile pharmacophore.

Authors:  Fraser F Fleming; Lihua Yao; P C Ravikumar; Lee Funk; Brian C Shook
Journal:  J Med Chem       Date:  2010-08-30       Impact factor: 7.446

2.  Effect of steric molecular field settings on CoMFA predictivity.

Authors:  Ruchi R Mittal; Ross A McKinnon; Michael J Sorich
Journal:  J Mol Model       Date:  2007-11-24       Impact factor: 1.810

Review 3.  Nitrile-containing pharmaceuticals: target, mechanism of action, and their SAR studies.

Authors:  Xi Wang; Yuanxun Wang; Xuemin Li; Zhenyang Yu; Chun Song; Yunfei Du
Journal:  RSC Med Chem       Date:  2021-08-10

4.  (E)-Ethyl 2-cyano-3-(3,4-dihydr-oxy-5-nitro-phen-yl)acrylate.

Authors:  Shi-Jie Zhang; Xian-Ming Zheng; Wei-Xiao Hu
Journal:  Acta Crystallogr Sect E Struct Rep Online       Date:  2009-09-05

5.  Computational Studies Applied to Flavonoids against Alzheimer's and Parkinson's Diseases.

Authors:  Alex France M Monteiro; Jéssika De O Viana; Anuraj Nayarisseri; Ernestine N Zondegoumba; Francisco Jaime B Mendonça Junior; Marcus Tullius Scotti; Luciana Scotti
Journal:  Oxid Med Cell Longev       Date:  2018-12-30       Impact factor: 6.543

6.  Molecular determinants of juvenile hormone action as revealed by 3D QSAR analysis in Drosophila.

Authors:  Denisa Liszeková; Maja Polakovicová; Milan Beno; Robert Farkas
Journal:  PLoS One       Date:  2009-06-23       Impact factor: 3.240

7.  Drug discovery using chemical systems biology: repositioning the safe medicine Comtan to treat multi-drug and extensively drug resistant tuberculosis.

Authors:  Sarah L Kinnings; Nina Liu; Nancy Buchmeier; Peter J Tonge; Lei Xie; Philip E Bourne
Journal:  PLoS Comput Biol       Date:  2009-07-03       Impact factor: 4.475

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.