CDR L3 环重排将多特异性 SPE-7 IgE 抗体从合蛋白结合转变为蛋白结合。

IF 2.3 4区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY Journal of Molecular Recognition Pub Date : 2024-10-07 DOI:10.1002/jmr.3107
Clarissa A. Seidler, Klaus R. Liedl
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引用次数: 0

摘要

单克隆 IgE 抗体 SPE-7 最初是针对 2,4-二硝基苯(DNP)靶点培养的。由于该抗体能够采用多种构象,因此能够与多种小型合体和大型蛋白质结合。本研究通过对实验测定的 SPE-7 抗体晶体结构数据集进行研究,以深入了解导致其多特异性的机制。随着越来越多针对不同靶点的治疗性抗体的出现,我们的研究对未来的药物开发具有重要意义。通过增强采样分子动力学模拟获得的构象组合,我们能够区分不同的副肽结合态,并计算出它们的转换时间尺度和状态概率。此外,我们还描述了区分不同结合能力的关键残基,并确定了 CDR L3 环中心位置的色氨酸是最值得关注的残基。副位点的整体动力学似乎主要受 CDR L3 和 CDR L1 环的影响。
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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CDR L3 Loop Rearrangement Switches Multispecific SPE-7 IgE Antibody From Hapten to Protein Binding

The monoclonal IgE antibody SPE-7 was originally raised against a 2,4-dinitrophenyl (DNP) target. Through its ability to adopt multiple conformations, the antibody is capable of binding to a diverse range of small haptens and large proteins. The present study examines a dataset of experimentally determined crystal structures of the SPE-7 antibody to gain insight into the mechanisms that contribute to its multispecificity. With the emergence of more and more therapeutic antibodies against a huge repertoire of different targets, our research could be of great interest for future drug development. We are able to discriminate between the different paratope-binding states in the conformational ensembles obtained by enhanced sampling molecular dynamics simulations, and to calculate their transition timescales and state probabilities. Furthermore, we describe the key residues responsible for discriminating between the different binding capacities and identify a tryptophan in a central position of the CDR L3 loop as the residue of greatest interest. The overall dynamics of the paratope appear to be mainly influenced by the CDR L3 and CDR L1 loops.

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来源期刊
Journal of Molecular Recognition
Journal of Molecular Recognition 生物-生化与分子生物学
CiteScore
4.60
自引率
3.70%
发文量
68
审稿时长
2.7 months
期刊介绍: Journal of Molecular Recognition (JMR) publishes original research papers and reviews describing substantial advances in our understanding of molecular recognition phenomena in life sciences, covering all aspects from biochemistry, molecular biology, medicine, and biophysics. The research may employ experimental, theoretical and/or computational approaches. The focus of the journal is on recognition phenomena involving biomolecules and their biological / biochemical partners rather than on the recognition of metal ions or inorganic compounds. Molecular recognition involves non-covalent specific interactions between two or more biological molecules, molecular aggregates, cellular modules or organelles, as exemplified by receptor-ligand, antigen-antibody, nucleic acid-protein, sugar-lectin, to mention just a few of the possible interactions. The journal invites manuscripts that aim to achieve a complete description of molecular recognition mechanisms between well-characterized biomolecules in terms of structure, dynamics and biological activity. Such studies may help the future development of new drugs and vaccines, although the experimental testing of new drugs and vaccines falls outside the scope of the journal. Manuscripts that describe the application of standard approaches and techniques to design or model new molecular entities or to describe interactions between biomolecules, but do not provide new insights into molecular recognition processes will not be considered. Similarly, manuscripts involving biomolecules uncharacterized at the sequence level (e.g. calf thymus DNA) will not be considered.
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