Qi Chu , Shuyang Sun , Congcong Li , Ge Qu , Zhoutong Sun
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引用次数: 0
Abstract
S-adenosylmethionine (SAM)-dependent histamine N-methyltransferase (HNMT) is a crucial enzyme involved in histamine methylation, playing an important role in the epigenetic modification of biology. It entails the addition of methyl groups to histamine molecules, thereby regulating gene expression, cellular signal transduction, and other biological processes. Therefore, gaining a profound understanding of the detailed mechanism underlying HNMT-mediated methylation reactions is instrumental in elucidating the role of histamine methylation in biology. This study employed molecular dynamics (MD) simulations to assess the mechanism of cooperative catalytic reaction between the substrate-binding domain (S domain) and the cofactor-binding domain (C domain) of HNMT. The results indicated that the interplay between the cofactor (SAM) and the C domain was mostly unaltered by substrate Histamine (HSM) binding. Nevertheless, SAM binding could induce conformational changes in the S domain, thus creating a favorable environment for substrate recognition and catalysis. Additionally, key amino acid residues that significantly contributed to substrate binding were identified based on molecular mechanics-generalized Born surface area (MM/GBSA) calculations. These findings could serve as a theoretical basis for the design of potential inhibitors and modulators targeting HNMT.
期刊介绍:
The Journal of Molecular Graphics and Modelling is devoted to the publication of papers on the uses of computers in theoretical investigations of molecular structure, function, interaction, and design. The scope of the journal includes all aspects of molecular modeling and computational chemistry, including, for instance, the study of molecular shape and properties, molecular simulations, protein and polymer engineering, drug design, materials design, structure-activity and structure-property relationships, database mining, and compound library design.
As a primary research journal, JMGM seeks to bring new knowledge to the attention of our readers. As such, submissions to the journal need to not only report results, but must draw conclusions and explore implications of the work presented. Authors are strongly encouraged to bear this in mind when preparing manuscripts. Routine applications of standard modelling approaches, providing only very limited new scientific insight, will not meet our criteria for publication. Reproducibility of reported calculations is an important issue. Wherever possible, we urge authors to enhance their papers with Supplementary Data, for example, in QSAR studies machine-readable versions of molecular datasets or in the development of new force-field parameters versions of the topology and force field parameter files. Routine applications of existing methods that do not lead to genuinely new insight will not be considered.