Decoding the Torsional Dynamics of Main-Chain Atoms Within CαNN Motif Facilitating Specific Anion Recognition.

IF 3.2 4区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Akash Roy, Vinith Johnson, Pramiti Das, Shuvam Paul, Subhankar Sahu, Raja Banerjee
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Abstract

The structural plasticity of proteins at the molecular level is largely dictated by backbone torsion angles, which play a critical role in ligand recognition and binding. To establish the anion-induced cooperative arrangement of the main-chain (mc) torsion, herein, we analyzed a set of naturally occurring CαNN motifs as "static models" for their anion-binding competence through docking and molecular dynamics simulations and decoded its torsion angle influenced mc-driven anion recognition potential. By comparing a pool of 20 distinct sets of CαNN motif with identical sequences in their "anion bound/present, aP" and "anion free/absent, aA" versions, we could discern that there exists a positive correlation between the "difference of anion residence time (ΔRT)" and "difference among the main-chain torsion angle" of the aP and aA population. Notably, the anion interaction with CαNNs is locally energetically favorable even in a context-free non-proteinaceous environment and if the difference of the mc-torsion angles involving the Cα-1, N0, N1 residues for a population is higher between the aP and aA state, the difference among the ligand RT is also greater. At the atomistic level, the accommodation of anion is highly synergistic and cooperatively sways the interacting mc-atom torsions. By comparing the clustering of H-bonding patterns, the free energy of binding, and RT in both states, we provide evidence that to establish favorable thermodynamics and kinetics of ligand accommodation in these short structural motifs, proper reorientation of local-mc governed by torsions is a prerequisite. Our findings position the CαNN motif as a promising scaffold for peptidomimetic design and emphasize the critical role of loop region dynamics in protein structure-function relationships.

解码c - α nn基序中主链原子的扭转动力学,促进特定阴离子识别。
蛋白质在分子水平上的结构可塑性很大程度上取决于主链扭转角,而主链扭转角在配体识别和结合中起着至关重要的作用。为了建立阴离子诱导的主链(mc)扭转协同排列,本文通过对接和分子动力学模拟分析了一组自然存在的c- α nn基序作为其阴离子结合能力的“静态模型”,并解码了其扭转角度对mc驱动的阴离子识别电位的影响。通过比较20组不同的c - α nn基序,它们的“阴离子结合/存在,aP”和“阴离子游离/不存在,aA”版本的序列相同,我们可以看出,aP和aA群体的“阴离子停留时间差异(ΔRT)”和“主链扭转角差异”之间存在正相关关系。值得注意的是,即使在环境无关的非蛋白环境中,阴离子与c α nn的相互作用在局部能量上也是有利的,如果一个种群的Cα-1、N0、N1残基的mc-扭转角在aP态和aA态之间的差异较大,那么配体RT之间的差异也较大。在原子水平上,阴离子的调节是高度协同的,并协同影响相互作用的mc-原子扭转。通过比较h键模式的聚类,结合自由能和两种状态下的RT,我们提供了证据,证明要在这些短结构基序中建立良好的配体调节热力学和动力学,由扭转控制的局部mc的适当重定向是先决条件。我们的研究结果将c - α - nn基序定位为拟态肽设计的一个有前途的支架,并强调了环区动力学在蛋白质结构-功能关系中的关键作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Proteins-Structure Function and Bioinformatics
Proteins-Structure Function and Bioinformatics 生物-生化与分子生物学
CiteScore
5.90
自引率
3.40%
发文量
172
审稿时长
3 months
期刊介绍: PROTEINS : Structure, Function, and Bioinformatics publishes original reports of significant experimental and analytic research in all areas of protein research: structure, function, computation, genetics, and design. The journal encourages reports that present new experimental or computational approaches for interpreting and understanding data from biophysical chemistry, structural studies of proteins and macromolecular assemblies, alterations of protein structure and function engineered through techniques of molecular biology and genetics, functional analyses under physiologic conditions, as well as the interactions of proteins with receptors, nucleic acids, or other specific ligands or substrates. Research in protein and peptide biochemistry directed toward synthesizing or characterizing molecules that simulate aspects of the activity of proteins, or that act as inhibitors of protein function, is also within the scope of PROTEINS. In addition to full-length reports, short communications (usually not more than 4 printed pages) and prediction reports are welcome. Reviews are typically by invitation; authors are encouraged to submit proposed topics for consideration.
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