Lawrence J Williams, Brian J Schendt, Zachary R Fritz, Yonatan Attali, Robert H Lavroff, Martin L Yarmush
{"title":"A protein interaction free energy model based on amino acid residue contributions: Assessment of point mutation stability of T4 lysozyme.","authors":"Lawrence J Williams, Brian J Schendt, Zachary R Fritz, Yonatan Attali, Robert H Lavroff, Martin L Yarmush","doi":"10.1142/s233954781950002x","DOIUrl":null,"url":null,"abstract":"<p><p>Here we present a model to estimate the interaction free energy contribution of each amino acid residue of a given protein. Protein interaction energy is described in terms of per-residue interaction factors, μ. Multibody interactions are implicitly captured in μ through the combination of amino acid terms (γ) guided by local conformation indices (σ). The model enables construction of an interaction factor heat map for a protein in a given fold, allows prima facie assessment of the degree of residue-residue interaction, and facilitates a qualitative and quantitative evaluation of protein association properties. The model was used to compute thermal stability of T4 bacteriophage lysozyme mutants across seven sites. Qualitative assessment of mutational effects provides a straightforward rationale regarding whether a particular site primarily perturbs native or non-native states, or both. The presented model was found to be in good agreement with experimental mutational data (<i>R</i> <sup>2</sup> = 0.73) and suggests an approach by which to convert structure space into energy space.</p>","PeriodicalId":22332,"journal":{"name":"TECHNOLOGY","volume":"7 1-2","pages":"12-39"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1142/s233954781950002x","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"TECHNOLOGY","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/s233954781950002x","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2019/4/26 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Here we present a model to estimate the interaction free energy contribution of each amino acid residue of a given protein. Protein interaction energy is described in terms of per-residue interaction factors, μ. Multibody interactions are implicitly captured in μ through the combination of amino acid terms (γ) guided by local conformation indices (σ). The model enables construction of an interaction factor heat map for a protein in a given fold, allows prima facie assessment of the degree of residue-residue interaction, and facilitates a qualitative and quantitative evaluation of protein association properties. The model was used to compute thermal stability of T4 bacteriophage lysozyme mutants across seven sites. Qualitative assessment of mutational effects provides a straightforward rationale regarding whether a particular site primarily perturbs native or non-native states, or both. The presented model was found to be in good agreement with experimental mutational data (R2 = 0.73) and suggests an approach by which to convert structure space into energy space.