Xiao Liu, Kaiwen Pang, Hangfei Wu, Xiaohui Wang, John Z H Zhang, Zhaoxi Sun
{"title":"All-Atom Perspective of the DENV-3 Methyltransferase Inhibition Mechanism.","authors":"Xiao Liu, Kaiwen Pang, Hangfei Wu, Xiaohui Wang, John Z H Zhang, Zhaoxi Sun","doi":"10.1021/acs.jpcb.4c05943","DOIUrl":null,"url":null,"abstract":"<p><p>The Dengue virus (DENV) is an enveloped, single-stranded RNA virus with several antigenically distinct serotypes (DENV-1 to DENV-5). Dengue fever, as a major public health threat transmitted by mosquitoes, affects millions of people worldwide (especially in tropical and subtropical regions). Toward drug developments of DENV, the nonstructural protein 5 methyltransferase (MTase) serves as an attractive target. The MTase transforms <i>S</i>-adenosyl methionine to <i>S</i>-adenosyl homocysteine (SAH), which is thereby selected as the target with which external drugs compete with. In this work, using alanine scanning with generalized Born and interaction entropy (ASGB-IE), we provide an all-atom perspective of the protein-ligand interactions formed by DENV-3 MTase and SAH derivatives. Residues with consistently high contributions to stabilization are summarized, and the general DENV-3 MTase inhibition mechanism is elucidated. Additionally, the mutational impact on binding thermodynamics is found to be entropy-driven. We also highlight the advantage of the ASGB-IE method for affinity estimation compared to standard end-point protocols, which is highly related to the selection of interfacial residues in free energy estimation. Finally, we performed a thorough scan of the mutational space on critical sites (saturation mutagenesis) and identified 14 mutants causing resistance to the current inhibitors.</p>","PeriodicalId":60,"journal":{"name":"The Journal of Physical Chemistry B","volume":" ","pages":"12358-12367"},"PeriodicalIF":2.8000,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal of Physical Chemistry B","FirstCategoryId":"1","ListUrlMain":"https://doi.org/10.1021/acs.jpcb.4c05943","RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/12/5 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0
Abstract
The Dengue virus (DENV) is an enveloped, single-stranded RNA virus with several antigenically distinct serotypes (DENV-1 to DENV-5). Dengue fever, as a major public health threat transmitted by mosquitoes, affects millions of people worldwide (especially in tropical and subtropical regions). Toward drug developments of DENV, the nonstructural protein 5 methyltransferase (MTase) serves as an attractive target. The MTase transforms S-adenosyl methionine to S-adenosyl homocysteine (SAH), which is thereby selected as the target with which external drugs compete with. In this work, using alanine scanning with generalized Born and interaction entropy (ASGB-IE), we provide an all-atom perspective of the protein-ligand interactions formed by DENV-3 MTase and SAH derivatives. Residues with consistently high contributions to stabilization are summarized, and the general DENV-3 MTase inhibition mechanism is elucidated. Additionally, the mutational impact on binding thermodynamics is found to be entropy-driven. We also highlight the advantage of the ASGB-IE method for affinity estimation compared to standard end-point protocols, which is highly related to the selection of interfacial residues in free energy estimation. Finally, we performed a thorough scan of the mutational space on critical sites (saturation mutagenesis) and identified 14 mutants causing resistance to the current inhibitors.
期刊介绍:
An essential criterion for acceptance of research articles in the journal is that they provide new physical insight. Please refer to the New Physical Insights virtual issue on what constitutes new physical insight. Manuscripts that are essentially reporting data or applications of data are, in general, not suitable for publication in JPC B.