HSADab:人类血清白蛋白的一个全面数据库
Lei Zheng1, Zhaoyi Zeng2, Yao Zhao3
1NYU-ECNU Center for Computational Chemistry and Shanghai Frontiers Science Center of Artificial Intelligence and Deep Learning, NYU Shanghai, Shanghai 200062, China; Department of Chemistry, New York University, NY NY10003, USA.
International journal of biological macromolecules
|July 31, 2024
概括
一个新的数据库,HSADab,整合了来自3万多篇出版物的人血清白蛋白 (HSA) 相互作用数据. 这一资源有助于药物设计和分子建模,为HSA提供可靠的亲和力和结构信息.
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.
- 结构生物学 结构生物学
背景情况:
- 人类血清白蛋白 (HSA) 对于药物运输和疗效至关重要.
- 关于HSA相互作用的有限,不一致的数据阻碍了药物开发和分子建模.
- 现有的数据库缺乏全面的,高质量的HSA约束性数据.
研究的目的:
- 创建一个全面和可靠的HSA互动数据库.
- 支持开发HSA准确的分子建模工具和机器学习预测器.
- 提高HSA药物相互作用数据的质量和可访问性.
主要方法:
- 系统的文献综述 >3万篇出版物 (1987-2023年).
- 精选的亲和力数据点 (>5000) 在多种温度下.
- 收集的结构数据 (>130个晶体结构),包括阿波和联体结合的形式.
主要成果:
- 建立了一个新的数据库资源HSADab (www.hsadab.cn).
- HSADab包含超过5000个亲和力数据点和>130个晶体结构.
- 该数据库为验证模拟协议和开发ML模型提供了可靠的基础.
结论:
- HSADab为HSA研究提供了高质量的集中资源.
- 该数据库有助于验证分子模拟技术和虚拟选.
- HSADab支持机器学习模型的进步,用于药物设计和血蛋白结合预测.
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