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

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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.

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Authors and Affiliations

  1. Department of Pharmaceutical Chemistry, University of Kuopio, P.O. Box 1627, 70211, Kuopio, Finland

    Anu J. Tervo, Toni Rönkkö & Antti Poso

  2. CSC – Scientific Computing Ltd., P.O. Box 405, 02101, Espoo, Finland

    Anu J. Tervo & Tommi H. Nyrönen

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  1. Anu J. Tervo
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  2. Tommi H. Nyrönen
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  3. Toni Rönkkö
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  4. Antti Poso
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Tervo, A.J., Nyrönen, T.H., Rönkkö, T. et al. A structure-activity relationship study of catechol-O-methyltransferase inhibitors combining molecular docking and 3D QSAR methods. J Comput Aided Mol Des 17, 797–810 (2003). https://doi.org/10.1023/B:JCAM.0000021831.47952.a7

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