人类和小鼠蛋白激酶抑制剂的数据集与精选的活性数据,包括共价抑制剂
Elena Xerxa1, Jürgen Bajorath1
1Department of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology & Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universität, Friedrich-Hirzebruch-Allee 5/6, D-53113 Bonn, Germany.
Future science OA
|September 27, 2023
概括
这项研究产生了包括共价PKI在内的蛋白激酶抑制剂 (PKI) 的综合数据集,以帮助药物发现. 精选的数据是公开可用的,用于研究和计算方法校准.
科学领域:
- 生物化学 生物化学
- 药理学 药理学是指药理学的学科.
- 计算化学计算化学
背景情况:
- 蛋白激酶抑制剂 (PKI) 在向癌症治疗中至关重要.
- 高质量,精心策划的数据集对于推动PKI研发至关重要.
- 现有的PKI数据库可能缺乏全面的活性数据或对共价抑制剂的系统识别.
研究的目的:
- 创建一个高质量的,开放式访问的蛋白质激酶抑制剂 (PKI) 数据集.
- 系统地识别共价PKI及其模拟序列.
- 为研究具有多种机制的PKI和计算模型校准提供资源.
主要方法:
- 将公开可用的PKI数据与可靠的活动信息进行整理.
- 将活动非常弱的PKI分类为不活跃的.
- 系统地识别用于共价抑制的有反应弹头的模拟序列和PKI.
主要成果:
- 收集了155579个人类和3057个小鼠PKI的数据集.
- 人类PKI覆盖了针对440种激酶的活性.
- 该数据集包括13,949个共价PKI和相应的无活性化合物,可通过开放访问获得.
结论:
- 生成的PKI数据集是药物发现和研究的宝贵资源.
- 这些数据有助于研究具有替代作用模式的PKI.
- 这个资源可以用来校准药物设计中的计算方法.
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