The rise of AlphaFold in drug design.

Q1 Pharmacology, Toxicology and Pharmaceutics
Progress in medicinal chemistry Pub Date : 2025-01-01 Epub Date: 2025-10-16 DOI:10.1016/bs.pmch.2025.09.002
Adrian Stecula, Rebecca Paul, Kevin Litchfield, Samuel E Dalton, Caroline M R Low, Carlos R Reis, Miles Congreve
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引用次数: 0

Abstract

The arrival of AlphaFold marked a new era in structural biology, with this transformative AI technology now reshaping the landscape of drug design. In this chapter we discuss advances across the drug design process, including target identification and validation, the acceleration of hit-finding campaigns through virtual screening, and the enablement of structure-based drug design. We explore the exciting frontiers of modulating protein-protein interactions, the rational discovery of molecular glues, and antibody drug design. While celebrating remarkable progress, we also acknowledge the current limitations of these models. This chapter offers a narrative of a rapidly evolving field, showing how AI-driven structural insights are deepening our understanding of biology and will enable the design of novel therapeutics with unprecedented precision and speed.

AlphaFold在药物设计领域的崛起。
AlphaFold的到来标志着结构生物学进入了一个新时代,这种变革性的人工智能技术正在重塑药物设计的格局。在本章中,我们讨论了药物设计过程中的进展,包括目标识别和验证,通过虚拟筛选加速命中发现活动,以及基于结构的药物设计的实现。我们探索令人兴奋的前沿调节蛋白-蛋白相互作用,合理发现分子胶,抗体药物设计。在庆祝显著进步的同时,我们也承认这些模型目前的局限性。本章提供了一个快速发展的领域的叙述,展示了人工智能驱动的结构洞察力如何加深我们对生物学的理解,并将以前所未有的精度和速度设计新的治疗方法。
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
Progress in medicinal chemistry
Progress in medicinal chemistry Pharmacology, Toxicology and Pharmaceutics-Pharmacology
CiteScore
15.60
自引率
0.00%
发文量
6
期刊介绍: This series has a long established reputation for excellent coverage of almost every facet of Medicinal Chemistry and is one of the most respected and instructive sources of information on the subject. The latest volume certifies to the continuing success of a unique series reflecting current progress in a broadly developing field of science.
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