Computationally derived structural insights into Rare Earth selectivity in lanmodulin and its variants

IF 4.4 2区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Karuna Anna Sajeevan , Bibek Acharya , Sakib Ferdous , Dan M. Park , Joseph A. Cotruvo Jr. , Ratul Chowdhury
{"title":"Computationally derived structural insights into Rare Earth selectivity in lanmodulin and its variants","authors":"Karuna Anna Sajeevan ,&nbsp;Bibek Acharya ,&nbsp;Sakib Ferdous ,&nbsp;Dan M. Park ,&nbsp;Joseph A. Cotruvo Jr. ,&nbsp;Ratul Chowdhury","doi":"10.1016/j.csbj.2025.02.005","DOIUrl":null,"url":null,"abstract":"<div><div>Understanding rare earth element (REE) binding to proteins enables the engineering of selective protein-based ligands for precise REE recovery. Lanmodulin (LanM), with notable REE selectivity and picomolar binding affinity, is a promising candidate. This study shows that LanM variants employ distinct inter-residue interactions for REE binding. We detail the thermodynamics and structural aspects of binding events in wild-type (WT) <em>Methylorubrum extorquens</em> LanM and five EF-hand residue variants (4P<sub>2</sub>A and 4D<sub>9</sub>X, X = N, A, H, M), using protein variant structure prediction, molecular dynamics simulations and binding motif exploration. We demonstrate strong agreement between experimental binding measurements (apparent <em>K</em><sub><em>d</em></sub>) and <em>in silico</em> binding energy scores of WT, 4 P<sub>2</sub>A, and 4D<sub>9</sub>X LanMs. We systematically investigate the role of solvent dielectric, sample multiple force fields, and initial protein structure bias on metal ion-binding energetics. In addition, we identify amino acids outside the direct metal binding motif crucial for coordinating the binding events which is corroborated with experimental binding characteristics of 4D<sub>9</sub>X variants. Computationally measured binding affinity with contribution from this secondary set of residues show agreement with the experimental <em>K</em><sub>d</sub> values and suggests how some point mutations can induce long-range structural perturbations to regulate metal ion-protein recognition and interactions. Finally, we analyze structural changes arising from alterations in side-chain flexibility of each amino acid on the protein backbone at the instant of metal binding and recognition – which manifests as altered helicity at a specific locus of the protein, a result that is corroborative of the observations from circular dichroism experiments.</div></div>","PeriodicalId":10715,"journal":{"name":"Computational and structural biotechnology journal","volume":"27 ","pages":"Pages 639-648"},"PeriodicalIF":4.4000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational and structural biotechnology journal","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2001037025000315","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Understanding rare earth element (REE) binding to proteins enables the engineering of selective protein-based ligands for precise REE recovery. Lanmodulin (LanM), with notable REE selectivity and picomolar binding affinity, is a promising candidate. This study shows that LanM variants employ distinct inter-residue interactions for REE binding. We detail the thermodynamics and structural aspects of binding events in wild-type (WT) Methylorubrum extorquens LanM and five EF-hand residue variants (4P2A and 4D9X, X = N, A, H, M), using protein variant structure prediction, molecular dynamics simulations and binding motif exploration. We demonstrate strong agreement between experimental binding measurements (apparent Kd) and in silico binding energy scores of WT, 4 P2A, and 4D9X LanMs. We systematically investigate the role of solvent dielectric, sample multiple force fields, and initial protein structure bias on metal ion-binding energetics. In addition, we identify amino acids outside the direct metal binding motif crucial for coordinating the binding events which is corroborated with experimental binding characteristics of 4D9X variants. Computationally measured binding affinity with contribution from this secondary set of residues show agreement with the experimental Kd values and suggests how some point mutations can induce long-range structural perturbations to regulate metal ion-protein recognition and interactions. Finally, we analyze structural changes arising from alterations in side-chain flexibility of each amino acid on the protein backbone at the instant of metal binding and recognition – which manifests as altered helicity at a specific locus of the protein, a result that is corroborative of the observations from circular dichroism experiments.
求助全文
约1分钟内获得全文 求助全文
来源期刊
Computational and structural biotechnology journal
Computational and structural biotechnology journal Biochemistry, Genetics and Molecular Biology-Biophysics
CiteScore
9.30
自引率
3.30%
发文量
540
审稿时长
6 weeks
期刊介绍: Computational and Structural Biotechnology Journal (CSBJ) is an online gold open access journal publishing research articles and reviews after full peer review. All articles are published, without barriers to access, immediately upon acceptance. The journal places a strong emphasis on functional and mechanistic understanding of how molecular components in a biological process work together through the application of computational methods. Structural data may provide such insights, but they are not a pre-requisite for publication in the journal. Specific areas of interest include, but are not limited to: Structure and function of proteins, nucleic acids and other macromolecules Structure and function of multi-component complexes Protein folding, processing and degradation Enzymology Computational and structural studies of plant systems Microbial Informatics Genomics Proteomics Metabolomics Algorithms and Hypothesis in Bioinformatics Mathematical and Theoretical Biology Computational Chemistry and Drug Discovery Microscopy and Molecular Imaging Nanotechnology Systems and Synthetic Biology
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信