Department of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universitat, Bonn, Germany.
J Med Chem. 2010 Aug 12;53(15):5707-15. doi: 10.1021/jm100492z.
The scaffold hopping potential of popular 2D fingerprints has been thoroughly investigated. We have found that these types of fingerprints have at least limited scaffold hopping ability including early enrichment of small numbers of active scaffolds at high database ranks. However, it has not been possible to derive Tanimoto coefficient value ranges for individual fingerprints that are generally preferred for scaffold hopping. For selected fingerprints, similarity threshold values have been identified that yield small database selection sets having a high probability to contain a few active scaffolds. Furthermore, essentially all tested fingerprints have shown the ability to enrich scaffold hops in approximately 1% of a screening database. For the test cases reported herein, selecting 0.5-1% of the screening database yields approximately 25% of the available scaffolds. On the basis of our findings, practical guidelines for virtual screening using different types of 2D fingerprints have been formulated.
已经彻底研究了流行的 2D 指纹的支架跳跃潜力。我们发现这些类型的指纹至少具有有限的支架跳跃能力,包括在高数据库排名时早期富集少量的活性支架。然而,还不可能为普遍用于支架跳跃的各个指纹推导出特等系数值范围。对于选定的指纹,已经确定了相似性阈值值,这些值可以产生具有包含少数几个活性支架的高可能性的小数据库选择集。此外,基本上所有测试的指纹都表现出富集筛选数据库中约 1%的支架跳跃的能力。对于本文报告的测试案例,选择筛选数据库的 0.5-1%可产生约 25%的可用支架。根据我们的发现,已经制定了使用不同类型的 2D 指纹进行虚拟筛选的实用指南。