药物发现
共价键
纳米技术
计算生物学
化学生物学
化学空间
化学
虚拟筛选
组合化学
共价结合
药物开发
新兴技术
鉴定(生物学)
配体(生物化学)
药品
化学基因学
结构生物学
药物靶点
计算机科学
噬菌体展示
小分子
生物制药
生物结合
作者
Haipeng Yu,Xiaoran Wang,Xinyu Wang,Yizhen Yin
摘要
Covalent drugs have attracted increasing attention in modern drug discovery because of their prolonged target engagement, enhanced pharmacological efficacy, and potential to address traditionally challenging protein targets. The rapid development of electrophilic warhead chemistry, chemical biology methods, and high-throughput screening technologies has shifted covalent drug discovery from serendipitous identification to target-oriented and rational design. In recent years, phage display, mRNA display, and DNA-encoded library technologies have enabled the efficient de novo discovery of covalent peptides and small molecules, expanding the accessible chemical space for targeting cysteine, lysine, tyrosine, serine, and other reactive residues. Meanwhile, artificial intelligence has further accelerated covalent drug research by supporting covalent database construction, binding-site prediction, virtual screening, molecular generation, and structure-based ligand optimization. This article reviews recent advances in high-throughput strategies for targeted covalent drug discovery, with a focus on phage display, mRNA display, DNA-encoded libraries, and artificial intelligence (AI)-assisted approaches. We further discuss current challenges and future opportunities in the field and provide our perspectives on emerging directions for next-generation covalent ligand discovery.
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