通过深度学习和分子对接来预测类抗生素与生物体相互作用的活性部位
Wenjun Zhang1, Wenjing Zhang1, Chenyang Dong1
1Key Laboratory of Integrated Regulation and Resources Development on Shallow Lakes of Ministry of Education, College of Environment, Hohai University, Nanjing, 210098, China.
深度学习模型准确地预测类 (QN) 抗生素活性,识别细菌DNA修复酶和神经行为蛋白等标. 这有助于评估环境风险和开发更安全的药品.
科学领域:
- 药理学 药理学是指药理学的学科.
- 计算化学计算化学
- 环境科学 环境科学
背景情况:
- 奎诺 (QN) 是全球广泛用于人类和动物健康的抗生素.
- 准确预测QN生物活性对于风险评估和药物开发至关重要.
研究的目的:
- 开发深度学习模型来预测19种常见的类抗生素的生物测试活性.
- 为了确定新的目标,并了解诺的作用机制.
主要方法:
- 从PubChem数据库收集了19个QN的生物测试数据.
- 构建了45个基于深度学习的生物活动预测模型.
- 利用分子动力学模拟来验证相互作用.
主要成果:
- 开发的模型实现了超过95%的预测准确度 (除了CCRIS的突变致病率为85.22%).
- 预测的QN对细菌DNA修复酶和神经行为蛋白 (例如HP1089,RecBCD,RecB,SLC5A7) 具有活性.
- 分子动力学证实了具有识别目标的诺基诺复合物的稳定构造.
结论:
- 开发的深度学习模型提供了可靠的工具来预测类的生物活性,并填补数据缺口.
- 这些发现为了解生物体对外源化学物质的反应提供了理论基础,并为政策提供了信息.
- 这项研究支持环境保护,食品安全,风险评估和环保药品开发.
更多相关视频
10:29Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors
Published on: May 9, 2025
08:49Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
Published on: June 20, 2025
相关概念视频
Ligand Binding Sites
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...
Ligand Binding Sites
Protein-protein Interfaces
Conserved Binding Sites
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally...
Gene Regulation in Microbial Communities: Quorum Sensing
Protein-Drug Binding: Mechanism and Kinetics
Various forces drive these interactions, including hydrogen bonds, hydrophobic interactions, ionic bonds, electrostatic interactions, and van der Waals forces. These bonds enable drugs to bind to specific sites on proteins,...
