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蛋白质酪氨酸磷酸酶-1B新型抑制剂的分子对接与高通量筛选

Molecular docking and high-throughput screening for novel inhibitors of protein tyrosine phosphatase-1B.

作者信息

Doman Thompson N, McGovern Susan L, Witherbee Bryan J, Kasten Thomas P, Kurumbail Ravi, Stallings William C, Connolly Daniel T, Shoichet Brian K

机构信息

Pharmacia Corporation, 4901 Searle Parkway, Skokie, Illinois 60077, USA.

出版信息

J Med Chem. 2002 May 23;45(11):2213-21. doi: 10.1021/jm010548w.

Abstract

High-throughput screening (HTS) of compound libraries is used to discover novel leads for drug development. When a structure is available for the target, computer-based screening using molecular docking may also be considered. The two techniques have rarely been used together on the same target. The opportunity to do so presented itself in a project to discover novel inhibitors for the enzyme protein tyrosine phosphatase-1B (PTP1B), a tyrosine phosphatase that has been implicated as a key target for type II diabetes. A corporate library of approximately 400 000 compounds was screened using high-throughput experimental techniques for compounds that inhibited PTP1B. Concurrently, molecular docking was used to screen approximately 235 000 commercially available compounds against the X-ray crystallographic structure of PTP1B, and 365 high-scoring molecules were tested as inhibitors of the enzyme. Of approximately 400 000 molecules tested in the high-throughput experimental assay, 85 (0.021%) inhibited the enzyme with IC50 values less than 100 microM; the most active had an IC50 value of 4.2 microM. Of the 365 molecules suggested by molecular docking, 127 (34.8%) inhibited PTP1B with IC50 values less than 100 microM; the most active of these had an IC50 of 1.7 microM. Structure-based docking therefore enriched the hit rate by 1700-fold over random screening. The hits from both the high-throughput and docking screens were dissimilar from phosphotyrosine, the canonical substrate group for PTP1B; the two hit lists were also very different from each other. Surprisingly, the docking hits were judged to be more druglike than the HTS hits. The diversity of both hit lists and their dissimilarity from each other suggest that docking and HTS may be complementary techniques for lead discovery.

摘要

化合物库的高通量筛选(HTS)用于发现药物开发的新先导化合物。当靶点的结构已知时,也可考虑使用基于分子对接的计算机辅助筛选。这两种技术很少用于同一靶点。在一个旨在发现新型蛋白酪氨酸磷酸酶-1B(PTP1B)抑制剂的项目中,出现了将这两种技术结合使用的机会。PTP1B是一种酪氨酸磷酸酶,被认为是II型糖尿病的关键靶点。使用高通量实验技术对一个约有40万种化合物的公司化合物库进行筛选,以寻找抑制PTP1B的化合物。同时,利用分子对接技术针对PTP1B的X射线晶体结构筛选约23.5万种市售化合物,并对365个高分分子作为该酶的抑制剂进行测试。在高通量实验中测试的约40万个分子中,有85个(0.021%)以IC50值小于100μM的浓度抑制该酶;活性最高的IC50值为4.2μM。在分子对接筛选出的365个分子中,有127个(34.8%)以IC50值小于100μM的浓度抑制PTP1B;其中活性最高的IC50为1.7μM。因此,基于结构的对接比随机筛选的命中率提高了1700倍。高通量筛选和对接筛选得到的活性化合物与PTP1B的典型底物磷酸酪氨酸不同;两个活性化合物列表彼此也非常不同。令人惊讶的是,对接筛选得到的活性化合物比高通量筛选得到的活性化合物更具药物特性。两个活性化合物列表的多样性以及它们彼此之间的差异表明,对接和高通量筛选可能是发现先导化合物的互补技术。

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