Department of Medicinal Chemistry, Skaggs College of Pharmacy, University of Utah, 30 S 2000 E, Salt Lake City, Utah 84112, United States.
Huntsman Cancer Institute, University of Utah, 2000 Circle of Hope Dr., Salt Lake City, Utah 84112, United States.
J Chem Inf Model. 2023 Aug 14;63(15):4641-4653. doi: 10.1021/acs.jcim.3c01008. Epub 2023 Jul 26.
DNA-encoded libraries (DELs) are widely used in the discovery of drug candidates, and understanding their design principles is critical for accessing better libraries. Most DELs are combinatorial in nature and are synthesized by assembling sets of building blocks in specific topologies. In this study, different aspects of library topology were explored and their effect on DEL properties and chemical diversity was analyzed. We introduce a descriptor for DEL topological assignment (DELTA) and use it to examine the landscape of possible DEL topologies and their coverage in the literature. A generative topographic mapping analysis revealed that the impact of library topology on chemical space coverage is secondary to building block selection. Furthermore, it became apparent that the descriptor used to analyze chemical space dictates how structures cluster, with the effects of topology being apparent when using three-dimensional descriptors but not with common two-dimensional descriptors. This outcome points to potential challenges of attempts to predict DEL productivity based on chemical space analyses alone. While topology is rather inconsequential for defining the chemical space of encoded compounds, it greatly affects possible interactions with target proteins as illustrated in docking studies using NAD/NADP binding proteins as model receptors.
DNA 编码文库(DEL)广泛应用于药物候选物的发现,了解其设计原则对于获得更好的文库至关重要。大多数 DEL 本质上是组合的,通过以特定拓扑结构组装构建块来合成。在这项研究中,探索了文库拓扑的不同方面,并分析了它们对 DEL 特性和化学多样性的影响。我们引入了一个 DEL 拓扑分配描述符(DELTA),并使用它来检查可能的 DEL 拓扑及其在文献中的覆盖范围。生成地形映射分析表明,文库拓扑对化学空间覆盖的影响次于构建块选择。此外,显然,用于分析化学空间的描述符决定了结构如何聚类,当使用三维描述符时拓扑的影响是明显的,但当使用常见的二维描述符时则不明显。这一结果表明,仅基于化学空间分析来预测 DEL 生产力可能会面临挑战。虽然拓扑对于定义编码化合物的化学空间来说并不重要,但它会极大地影响与靶蛋白的可能相互作用,这在使用 NAD/NADP 结合蛋白作为模型受体的对接研究中得到了说明。