Institute for Glycomics, Griffith University, Gold Coast Campus, Gold Coast, Queensland 4222, Australia.
Molecules. 2019 Aug 5;24(15):2838. doi: 10.3390/molecules24152838.
Fragment-based drug discovery (FBDD) has become a major strategy to derive novel lead candidates for various therapeutic targets, as it promises efficient exploration of chemical space by employing fragment-sized (MW < 300) compounds. One of the first challenges in implementing a FBDD approach is the design of a fragment library, and more specifically, the choice of its size and individual members. A diverse set of fragments is required to maximize the chances of discovering novel hit compounds. However, the exact diversity of a certain collection of fragments remains underdefined, which hinders direct comparisons among different selections of fragments. Based on structural fingerprints, we herein introduced quantitative metrics for the structural diversity of fragment libraries. Structures of commercially available fragments were retrieved from the ZINC database, from which libraries with sizes ranging from 100 to 100,000 compounds were selected. The selected libraries were evaluated and compared quantitatively, resulting in interesting size-diversity relationships. Our results demonstrated that while library size does matter for its diversity, there exists an optimal size for structural diversity. It is also suggested that such quantitative measures can guide the design of diverse fragment libraries under different circumstances.
基于片段的药物发现(FBDD)已成为针对各种治疗靶标衍生新型先导候选物的主要策略,因为它有望通过使用片段大小(MW < 300)的化合物来高效探索化学空间。在实施 FBDD 方法的第一个挑战之一是设计片段文库,更具体地说,是选择其大小和各个成员。需要多样化的片段集以最大程度地提高发现新型命中化合物的机会。然而,特定片段集合的确切多样性仍然没有明确定义,这阻碍了不同片段选择之间的直接比较。基于结构指纹,我们在此引入了用于片段文库结构多样性的定量指标。从 ZINC 数据库中检索了可商购片段的结构,从中选择了大小范围从 100 到 100,000 种化合物的文库。对选定的文库进行了评估和定量比较,得出了有趣的大小多样性关系。我们的结果表明,虽然文库大小对于其多样性很重要,但存在最佳的结构多样性大小。还建议这种定量措施可以在不同情况下指导多样化片段文库的设计。