Computational Mapping of Conformational Dynamics and Interaction Hotspots of Human VISTA with pH-Selective Antibodies

化学 动力学(音乐) 分子动力学 生物物理学 抗体 计算生物学 计算化学 生物 物理 遗传学 声学
作者
Norman Ly,Shubham Devesh Ramgoolam,Aravindhan Ganesan
出处
期刊:Biochemistry [American Chemical Society]
卷期号:64 (16): 3634-3651
标识
DOI:10.1021/acs.biochem.4c00863
摘要

The V-domain Ig suppressor of T-cell activation (VISTA) is a critical negative immune checkpoint protein that regulates T-cell-mediated anticancer immune responses, making it a promising target for immunotherapy. Unlike other checkpoint proteins, VISTA activity is moderated by pH and engages with distinct ligands under variable pH conditions to promote immune suppression. Understanding the structural dynamics of VISTA and developing pH-selective antibodies to disrupt its interactions remain significant areas of research. Recently, two X-ray crystal structures of VISTA bound to pH-selective monoclonal antibodies have been reported. In this study, we probed the structural stability, conformational dynamics, and molecular interactions of VISTA in its apo state and when bound to these antibodies. A combination of atomistic modeling, molecular dynamics simulations, binding free energy calculations, energy decomposition analyses, and computational alanine scanning was employed. The results revealed the critical roles of key arginine residues (R90 and R74) that shield the hydrophobic core of VISTA, maintaining its structural integrity. Distinct VISTA regions, including the CC' loop, C'C″ segments, and FG loop, were found to play pivotal roles in antibody binding. Electrostatic interactions involving R86, R159, and E157, alongside an extensive π-π stacking network facilitated by Y69, Y73, and F94, were identified as key contributors to the complex stability and binding affinity. Overall, this study provides detailed insights into the structural dynamics and molecular interactions of VISTA with pH-selective antibodies. These findings enhance our understanding of VISTA's molecular mechanisms and lay a foundation for the rational design of improved therapeutics targeting immune checkpoint proteins.
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