2024年绑定DB:对蛋白质和小分子结合数据的公平知识库
Tiqing Liu1, Linda Hwang1, Stephen K Burley2
1Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA 92093, USA.
Nucleic acids research
|November 22, 2024
概括
绑定DB是蛋白质与小分子结合亲和关系的公共数据库,现在有290万次测量. 这种由专利数据策划驱动的扩展,增强了它对药物发现和AI模型开发的实用性.
科学领域:
- 生物化学 生化学
- 药用化学 医学化学
- 计算生物学 计算生物学
背景情况:
- 绑定DB是一个公共数据库,用于实验测量绑定亲和力.
- 它支持药物化学,途径注释和AI模型培训的应用.
- 之前的更新是在2016年发布的.
研究的目的:
- 自2016年以来,报告BindingDB数据库的显著增长和改进.
- 突出新功能和数据采集策略.
- 讨论BindingDB的作用和未来发展.
主要方法:
- 来自美国专利的具有约束力的亲缘关系数据的策划.
- 使用响应式网页设计原则进行网站重新设计.
- 实施增强的搜索,过和数据下载选项.
主要成果:
- 数据库现在包含290万个对130万个化合物和数千个蛋白质标的结合测量.
- 从专利策划中大量涌入新的具有约束力的数据.
- 提高了网站的可用性,数据的可访问性和长期数据存档.
结论:
- 绑定DB经历了显著的增长和改进.
- 增强的数据可访问性和新功能支持各种科学应用.
- 持续发展和开放数据政策将BindingDB定位为一个关键资源.
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