计算机指导的药物设计是药物发现的强大工具。本文中,我们公开了使用这种方法来发现双重FMS样受体酪氨酸激酶3(FLT3)– Aurora A抗癌抑制剂。选择了一个极光命中化合物作为起点,从中筛选了288个虚拟分子。随后,合成了其中一些化合物,并评估了它们抑制FLT3和Aurora激酶A的能力。为了进一步增强FLT3抑制作用,通过简化策略和生物等位取代对先导化合物进行了结构-活性关系研究,然后使用计算机引导的药物设计,可根据有利的结合能对带有各种不同末端基团的分子进行优先排序。然后合成选定的化合物,并评估其生物活性。这些,50的7 n M值。因此,它被认为是进一步发展的极有希望的候选者。
Drug candidates for inhibition of HIV-I replication can target Src family kinases (SFK), such as Hck, that interact with Nef protein of the virus. Compounds characterized by such inhibitory activity were identified via an assay for kinase activity of an SFK in a Nef:SFK complex. Illustrative of inhibitors identified using the kinase assay are various 2,3-diaminoquinaxolines and furo[2,3-d]pyrimidines. The inventive inhibitors were found to arrest HIV-I viral replication in vitro.
[EN] TARGETING AN HIV-1 NEF-HOST CELL KINASE COMPLEX<br/>[FR] CIBLAGE D'UN COMPLEXE NEF DE VIH 1/KINASE DE CELLULE HÔTE
申请人:UNIV PITTSBURGH
公开号:WO2009139886A2
公开(公告)日:2009-11-19
Drug candidates for inhibition of HIV-I replication can target Src family kinases (SFK), such as Hck, that interact with Nef protein of the virus. Compounds characterized by such inhibitory activity were identified via an assay for kinase activity of an SFK in a Nef:SFK complex. Illustrative of inhibitors identified using the kinase assay are various 2,3- diaminoquinaxolines and furo[2,3-d]pyrimidines. The inventive inhibitors were found to arrest HIV-I viral replication in vitro.
Facile Identification of Dual FLT3-Aurora A Inhibitors: A Computer-Guided Drug Design Approach
Computer‐guided drugdesign is a powerful tool for drug discovery. Herein we disclose the use of this approach for the discovery of dual FMS‐like receptor tyrosine kinase‐3 (FLT3)–Aurora A inhibitors against cancer. An Aurora hit compound was selected as a starting point, from which 288 virtual molecules were screened. Subsequently, some of these were synthesized and evaluated for their capacity to inhibit FLT3
计算机指导的药物设计是药物发现的强大工具。本文中,我们公开了使用这种方法来发现双重FMS样受体酪氨酸激酶3(FLT3)– Aurora A抗癌抑制剂。选择了一个极光命中化合物作为起点,从中筛选了288个虚拟分子。随后,合成了其中一些化合物,并评估了它们抑制FLT3和Aurora激酶A的能力。为了进一步增强FLT3抑制作用,通过简化策略和生物等位取代对先导化合物进行了结构-活性关系研究,然后使用计算机引导的药物设计,可根据有利的结合能对带有各种不同末端基团的分子进行优先排序。然后合成选定的化合物,并评估其生物活性。这些,50的7 n M值。因此,它被认为是进一步发展的极有希望的候选者。