{"title":"Structural characterization of codon 129 polymorphism in prion peptide segments (PrP127-132) using the Markov State Models","authors":"Wycliffe Omwansu , Robinson Musembi , Solomon Derese","doi":"10.1016/j.jmgm.2024.108927","DOIUrl":null,"url":null,"abstract":"<div><div>The human prion protein gene (PRNP) consists of two common alleles that encode either methionine or valine residues at codon 129. Polymorphism at codon 129 of the prion protein (PRNP) gene is closely associated with genetic variations and susceptibility to specific variants of prion diseases. The presence of these different alleles, known as the PRNP codon 129 polymorphism, plays a significant role in disease susceptibility and progression. For instance, the prion fragment 127-132 (PrP127-132) has been implicated in the development of variant Creutzfeldt–Jakob disease (vCJD), due to the presence of methionine or valine at codon 129. This study aims to unravel the early structural changes brought by the presence of polymorphism at codon 129. Using molecular dynamics (MD) simulations, we present evidence highlighting a spectrum of structural transitions, uncovering the nuanced conformational heterogeneity governing the polymorphic behavior of the PrP127-132 chain. The Markov state model (MSM) analysis was able to predict several metastable states of these chains and established a kinetic network that describes transitions between these states. Additionally, the MSM analysis showed extra stability of the PrP-M129 polymorph due to less random-coiled motions, the formation of a salt bridge, and an increase in the number of native contacts. The pathogenicity of PrP-V129 can be attributed to enhanced random motion and the absence of a salt bridge.</div></div>","PeriodicalId":16361,"journal":{"name":"Journal of molecular graphics & modelling","volume":"135 ","pages":"Article 108927"},"PeriodicalIF":2.7000,"publicationDate":"2024-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of molecular graphics & modelling","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1093326324002274","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
The human prion protein gene (PRNP) consists of two common alleles that encode either methionine or valine residues at codon 129. Polymorphism at codon 129 of the prion protein (PRNP) gene is closely associated with genetic variations and susceptibility to specific variants of prion diseases. The presence of these different alleles, known as the PRNP codon 129 polymorphism, plays a significant role in disease susceptibility and progression. For instance, the prion fragment 127-132 (PrP127-132) has been implicated in the development of variant Creutzfeldt–Jakob disease (vCJD), due to the presence of methionine or valine at codon 129. This study aims to unravel the early structural changes brought by the presence of polymorphism at codon 129. Using molecular dynamics (MD) simulations, we present evidence highlighting a spectrum of structural transitions, uncovering the nuanced conformational heterogeneity governing the polymorphic behavior of the PrP127-132 chain. The Markov state model (MSM) analysis was able to predict several metastable states of these chains and established a kinetic network that describes transitions between these states. Additionally, the MSM analysis showed extra stability of the PrP-M129 polymorph due to less random-coiled motions, the formation of a salt bridge, and an increase in the number of native contacts. The pathogenicity of PrP-V129 can be attributed to enhanced random motion and the absence of a salt bridge.
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.