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通过化学、分子动力学和人工智能方法实现蛋白质的靶向生物共轭

Target Bioconjugation of Protein Through Chemical, Molecular Dynamics, and Artificial Intelligence Approaches.

作者信息

Abbas Sk Jahir, Yesmin Sabina, Vittala Sandeepa K, Sepay Nayim, Xia Fangfang, Ali Sk Imran, Chang Wei-Chun, Hung Yao-Ching, Ma Wen-Lung

机构信息

Graduate Institute of Biomedical Sciences, China Medical University, Taichung 40402, Taiwan.

Department of Obstetrics and Gynecology, Asia University Hospital, Taichung 41354, Taiwan.

出版信息

Metabolites. 2024 Dec 2;14(12):668. doi: 10.3390/metabo14120668.

Abstract

Covalent modification of proteins at specific, predetermined sites is essential for advancing biological and biopharmaceutical applications. Site-selective labeling techniques for protein modification allow us to effectively track biological function, intracellular dynamics, and localization. Despite numerous reports on modifying target proteins with functional chemical probes, unique organic reactions that achieve site-selective integration without compromising native functional properties remain a significant challenge. In this review, we delve into site-selective protein modification using synthetic probes, highlighting both chemical and computational methodologies for chemo- and regioselective modifications of naturally occurring amino acids, as well as proximity-driven protein-selective chemical modifications. We also underline recent traceless affinity labeling strategies that involve exchange/cleavage reactions and catalyst tethering modifications. The rapid development of computational infrastructure and methods has made the bioconjugation of proteins more accessible, enabling precise predictions of structural changes due to protein modifications. Hence, we discuss bioconjugational computational approaches, including molecular dynamics and artificial intelligence, underscoring their potential applications in enhancing our understanding of cellular biology and addressing current challenges in the field.

摘要

在特定的、预先确定的位点对蛋白质进行共价修饰对于推进生物和生物制药应用至关重要。用于蛋白质修饰的位点选择性标记技术使我们能够有效地追踪生物功能、细胞内动态和定位。尽管有许多关于用功能性化学探针修饰靶蛋白的报道,但在不影响天然功能特性的情况下实现位点选择性整合的独特有机反应仍然是一项重大挑战。在这篇综述中,我们深入探讨了使用合成探针进行位点选择性蛋白质修饰,重点介绍了对天然存在的氨基酸进行化学和区域选择性修饰的化学和计算方法,以及邻近驱动的蛋白质选择性化学修饰。我们还强调了最近涉及交换/裂解反应和催化剂拴系修饰的无痕亲和标记策略。计算基础设施和方法的快速发展使蛋白质的生物共轭更易于实现,能够精确预测由于蛋白质修饰引起的结构变化。因此,我们讨论了生物共轭计算方法,包括分子动力学和人工智能,强调了它们在增强我们对细胞生物学的理解以及应对该领域当前挑战方面的潜在应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a25/11677502/ec264ab786c8/metabolites-14-00668-sch001.jpg

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