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在大规模模拟中,高亲和力抗体具有较低的水合作用和灵活性。

Higher Affinity Antibodies Bind With Lower Hydration and Flexibility in Large Scale Simulations.

机构信息

School of Chemistry, University of Southampton, Southampton, United Kingdom.

Computer Aided Drug Design, Union Chimique Belge (UCB) Celltech, Slough, United Kingdom.

出版信息

Front Immunol. 2022 May 30;13:884110. doi: 10.3389/fimmu.2022.884110. eCollection 2022.

DOI:10.3389/fimmu.2022.884110
PMID:35707541
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9190259/
Abstract

We have carried out a long-timescale simulation study on crystal structures of nine antibody-antigen pairs, in antigen-bound and antibody-only forms, using molecular dynamics with enhanced sampling and an explicit water model to explore interface conformation and hydration. By combining atomic level simulation and replica exchange to enable full protein flexibility, we find significant numbers of bridging water molecules at the antibody-antigen interface. Additionally, a higher proportion of interactions excluding bulk waters and a lower degree of antigen bound CDR conformational sampling are correlated with higher antibody affinity. The CDR sampling supports enthalpically driven antibody binding, as opposed to entropically driven, in that the difference between antigen bound and unbound conformations do not correlate with affinity. We thus propose that interactions with waters and CDR sampling are aspects of the interface that may moderate antibody-antigen binding, and that explicit hydration and CDR flexibility should be considered to improve antibody affinity prediction and computational design workflows.

摘要

我们使用增强采样的分子动力学和显式水模型,对九对抗体-抗原复合物的晶体结构进行了长时尺度的模拟研究,分别研究了抗原结合和抗体单独的形式,以探索界面构象和水合作用。通过将原子水平的模拟和复制交换相结合,实现了蛋白质的完全灵活性,我们在抗体-抗原界面发现了大量的桥接水分子。此外,与更高的抗体亲和力相关的是,排除了大量水分子的相互作用的比例更高,抗原结合的 CDR 构象采样的程度更低。CDR 采样支持抗体结合的焓驱动,而不是熵驱动,因为结合和未结合构象之间的差异与亲和力不相关。因此,我们提出与水的相互作用和 CDR 采样是可能调节抗体-抗原结合的界面的方面,应该考虑显式水合作用和 CDR 灵活性,以提高抗体亲和力预测和计算设计工作流程的准确性。

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