Chongqing University FuLing Hospital, Chongqing University, Chongqing, China.
Chongqing Key Laboratory of Natural Product Synthesis and Drug Research, Innovative Drug Research Center, School of Pharmaceutical Sciences, Chongqing University, Chongqing, China.
Expert Opin Drug Discov. 2024 Jun;19(6):725-740. doi: 10.1080/17460441.2024.2354287. Epub 2024 May 16.
The effectiveness of Fragment-based drug design (FBDD) for targeting challenging therapeutic targets has been hindered by two factors: the small library size and the complexity of the fragment-to-hit optimization process. The DNA-encoded library (DEL) technology offers a compelling and robust high-throughput selection approach to potentially address these limitations.
In this review, the authors propose the viewpoint that the DEL technology matches perfectly with the concept of FBDD to facilitate hit discovery. They begin by analyzing the technical limitations of FBDD from a medicinal chemistry perspective and explain why DEL may offer potential solutions to these limitations. Subsequently, they elaborate in detail on how the integration of DEL with FBDD works. In addition, they present case studies involving both hit discovery and full ligand discovery, especially for challenging therapeutic targets harboring broad drug-target interfaces.
The future of DEL-based fragment discovery may be promoted by both technical advances and application scopes. From the technical aspect, expanding the chemical diversity of DEL will be essential to achieve success in fragment-based drug discovery. From the application scope side, DEL-based fragment discovery holds promise for tackling a series of challenging targets.
片段导向药物设计(FBDD)在针对具有挑战性的治疗靶点方面的效果受到两个因素的限制:文库规模小和片段到命中的优化过程复杂。DNA 编码文库(DEL)技术提供了一种引人注目的强大高通量选择方法,可能解决这些限制。
在这篇综述中,作者提出了 DEL 技术与 FBDD 概念完美匹配,有助于发现命中的观点。他们首先从药物化学的角度分析 FBDD 的技术限制,并解释为什么 DEL 可能为这些限制提供潜在的解决方案。随后,他们详细阐述了 DEL 与 FBDD 如何集成。此外,他们还展示了涉及命中发现和全配体发现的案例研究,特别是对于具有广泛药物靶点界面的挑战性治疗靶点。
基于 DEL 的片段发现的未来可能会受到技术进步和应用范围的推动。从技术方面来看,扩大 DEL 的化学多样性对于成功进行基于片段的药物发现至关重要。从应用范围方面来看,基于 DEL 的片段发现有望解决一系列具有挑战性的靶点。