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胰腺K(ATP)通道新型开放剂的虚拟筛选

Virtual screening for novel openers of pancreatic K(ATP) channels.

作者信息

Carosati Emanuele, Mannhold Raimund, Wahl Philip, Hansen John Bondo, Fremming Tinna, Zamora Ismael, Cianchetta Giovanni, Baroni Massimo

机构信息

Laboratory for Chemometrics and Cheminformatics, Chemistry Department, University of Perugia, Via Elce di Sotto, 10, I-06123 Perugia, Italy.

出版信息

J Med Chem. 2007 May 3;50(9):2117-26. doi: 10.1021/jm061440p. Epub 2007 Apr 11.

Abstract

Ligand-based virtual screening approaches were applied to search for new chemotype KCOs activating Kir6.2/SUR1 KATP channels. A total of 65 208 commercially available compounds, extracted from the ZINC archive, served as database for screening. In a first step, pharmacokinetic filtering via VolSurf reduced the initial database to 1913 compounds. Afterward, six molecules were selected as templates for similarity searches: similarity scores, obtained toward these templates, were calculated with the GRIND, FLAP, and TOPP approaches, which differently encode structural information into potential pharmacophores. In this way, we obtained 32 hit candidates, 16 via GRIND and eight each via FLAP and TOPP. For biological testing of the hit candidates, their effects on membrane potentials in HEK 293 cells expressing Kir6.2/SUR1 were studied. GRIND, FLAP, and TOPP all yielded hits, but no method top-ranked all the actives. Thus, parallel application of different approaches probably improves hit detection.

摘要

基于配体的虚拟筛选方法被用于寻找激活Kir6.2/SUR1 KATP通道的新型化学类型钾通道开放剂(KCOs)。从ZINC数据库中提取的总共65208种市售化合物用作筛选数据库。第一步,通过VolSurf进行药代动力学筛选,将初始数据库减少到1913种化合物。之后,选择六个分子作为相似性搜索的模板:使用GRIND、FLAP和TOPP方法计算与这些模板的相似性得分,这些方法将结构信息以不同方式编码到潜在药效团中。通过这种方式,我们获得了32个命中候选物,其中16个通过GRIND获得,8个通过FLAP获得,8个通过TOPP获得。为了对命中候选物进行生物学测试,研究了它们对表达Kir6.2/SUR1的HEK 293细胞的膜电位的影响。GRIND、FLAP和TOPP都产生了命中结果,但没有一种方法在所有活性化合物中排名第一。因此,并行应用不同方法可能会提高命中检测率。

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