Literature DB >> 24937176

Investigating the binding preferences of small molecule inhibitors of human protein arginine methyltransferase 1 using molecular modelling.

Wei Hong1, Jingyang Li2, Charles A Laughton3, Lee Fah Yap4, Ian C Paterson4, Hao Wang5.   

Abstract

Protein arginine methyltransferases (PRMTs) catalyse the methylation of arginine residues of target proteins. PRMTs utilise S-adenosyl methionine (SAM) as the methyl group donor, leading to S-adenosyl homocysteine (SAH) and monomethylarginine (mMA). A combination of homology modelling, molecular docking, Active Site Pressurisation, molecular dynamic simulations and MM-PBSA free energy calculations is used to investigate the binding poses of three PRMT1 inhibitors (ligands 1-3), which target both SAM and substrate arginine binding sites by containing a guanidine group joined by short linkers with the SAM derivative. It was assumed initially that the adenine moieties of the inhibitors would bind in sub-site 1 (PHE44, GLU137, VAL136 and GLU108), the guanidine side chain would occupy sub-site 2 (GLU 161, TYR160, TYR156 and TRP302), with the amino acid side chain occupying sub-site 3 (GLU152, ARG62, GLY86 and ASP84; pose 1). However, the SAH homocysteine moiety does not fully occupy sub-site 3, suggesting another binding pose may exist (pose 2), whereby the adenine moiety binds in sub-site 1, the guanidine side chain occupies sub-site 3, and the amino acid side chain occupies sub-site 2. Our results indicate that ligand 1 (pose 1 or 2), ligand 2 (pose 2) and ligand 3 (pose 1) are the predominant binding poses and we demonstrate for the first time that sub-site 3 contains a large space that could be exploited in the future to develop novel inhibitors with higher binding affinities.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Active Site Pressurisation; Binding mode; Homology modelling; Molecular dynamic simulation; PRMT1 inhibitors

Mesh:

Substances:

Year:  2014        PMID: 24937176     DOI: 10.1016/j.jmgm.2014.05.010

Source DB:  PubMed          Journal:  J Mol Graph Model        ISSN: 1093-3263            Impact factor:   2.518


  3 in total

1.  Nuclear PRMT1 expression is associated with poor prognosis and chemosensitivity in gastric cancer patients.

Authors:  Bolag Altan; Takehiko Yokobori; Munenori Ide; Erito Mochiki; Yoshitaka Toyomasu; Norimichi Kogure; Akiharu Kimura; Keigo Hara; Tuya Bai; Pinjie Bao; Masaki Suzuki; Kyoichi Ogata; Takayuki Asao; Masahiko Nishiyama; Tetsunari Oyama; Hiroyuki Kuwano
Journal:  Gastric Cancer       Date:  2015-10-15       Impact factor: 7.370

Review 2.  Recent Developments and Applications of the MMPBSA Method.

Authors:  Changhao Wang; D'Artagnan Greene; Li Xiao; Ruxi Qi; Ray Luo
Journal:  Front Mol Biosci       Date:  2018-01-10

3.  The Development of Tetrazole Derivatives as Protein Arginine Methyltransferase I (PRMT I) Inhibitors.

Authors:  Yutong Sun; Zhe Wang; Hao Yang; Xuanli Zhu; Han Wu; Lu Ma; Fang Xu; Wei Hong; Hao Wang
Journal:  Int J Mol Sci       Date:  2019-08-06       Impact factor: 5.923

  3 in total

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