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IKKβ 抑制剂的鉴定部分 II:配体和基于结构的虚拟筛选。

IKKbeta inhibitors identification part II: ligand and structure-based virtual screening.

机构信息

Korea Institute of Science and Technology, Cheongryang, Seoul 130-650, Republic of Korea.

出版信息

Bioorg Med Chem. 2010 Jun 1;18(11):3951-60. doi: 10.1016/j.bmc.2010.04.030. Epub 2010 Apr 18.

Abstract

IkappaB kinase (IKK) is critical in proinflammatory cytokine-induced IkappaBalpha phosphorylation and subsequent activation of the nuclear transcription factor NF-kappaB complex. The activated NF-kappaB plays a major role in the pathogenesis of a number of human disorders, such as rheumatic and chronic inflammatory diseases. The inhibition of NF-kappaB activation by small molecule inhibitors that targets IKKbeta may provide a pharmacological basis for interfering with these acute processes. To date, only three inhibitors have passed preclinical trials; on the other hand, identifying novel IKKbeta inhibitors could evolve as potential candidates to meet the clinical requirements in the future. In the present work, we have employed a virtual screening (VS) method to identify novel compounds. The VS scheme is comprised of pharmacophore filtering and, subsequently, receptor based screening. The VS scheme was applied to the databases of 1.04 million compounds to identify three novel compounds that can inhibit the IKKbeta at a micro molar range. Moreover, these compounds can be raised into a potential anti-inflammatory drug candidate after optimizing and passing several phases of clinical trials.

摘要

IKK 激酶(IKK)在促炎细胞因子诱导的 IkappaBalpha 磷酸化和随后的核转录因子 NF-kappaB 复合物激活中起着关键作用。激活的 NF-kappaB 在许多人类疾病的发病机制中起主要作用,如风湿性和慢性炎症性疾病。针对 IKKbeta 的小分子抑制剂抑制 NF-kappaB 激活可能为干预这些急性过程提供药理学基础。迄今为止,只有三种抑制剂通过了临床前试验;另一方面,鉴定新型 IKKbeta 抑制剂可能会成为未来满足临床需求的潜在候选药物。在本工作中,我们采用了虚拟筛选(VS)方法来鉴定新型化合物。VS 方案包括药效团过滤,随后是基于受体的筛选。VS 方案应用于 104 万个化合物的数据库,以鉴定三种可在微摩尔范围内抑制 IKKbeta 的新型化合物。此外,这些化合物在经过优化并通过几个临床试验阶段后,可以成为潜在的抗炎药物候选物。

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