一个量子化学相互作用能量数据集,用于准确地建模蛋白-连接体相互作用
Steven A Spronk1, Zachary L Glick2, Derek P Metcalf2
1Molecular Structure and Design, Bristol Myers Squibb Company, P. O. Box 5400, Princeton, NJ, 08543, USA. steven.spronk@bms.com.
Scientific data
|September 12, 2023
概括
一个名为Splinter的新数据集提供了超过160万种蛋白质 - 配体二极体的配置. 这个对称调整扰动理论 (SAPT0) 数据集有助于开发更快,更准确的方法来计算相互作用能量.
科学领域:
- 计算化学是一种计算化学.
- 分子建模分子建模
- 生物物理学的生物物理.
背景情况:
- 准确计算分子间相互作用能量对于理解生物系统中的分子结合至关重要.
- 计算这些能量的现有方法可能是计算密集的,限制了它们的应用.
- 蛋白质 - 配体相互作用是许多生化过程的基础.
研究的目的:
- 介绍Splinter数据集,这是一个全面的资源,用于开发和改进相互作用能量计算的计算方法.
- 为培训和测试计算化学和药物发现中的新算法提供一个基准数据集.
主要方法:
- 从常见的分子碎片中生成超过9000个独特的蛋白质-联体二元体.
- 创建超过160万种配置,包括最小化的本地和全球最小值,覆盖各种潜在能量表面.
- 对称性调整扰动理论 (SAPT0) 计算的性能,用于所有配置的两个基础集.
主要成果:
- 斯普林特数据集包括超过160万种蛋白质-配体二极体的配置.
- 它包括随机生成和最小化配置,以确保广泛采样.
- 对于所有配置,SAPT0相互作用能量使用两个基数组进行了计算.
结论:
- 斯普林特数据集是化学和生物相互作用研究中推进计算方法的宝贵基准.
- 这将有助于开发更快,更准确的工具来预测蛋白质 - 连接体结合.
- 预计这一资源将加速药物发现和分子设计等领域的研究.
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