最近在基于人工智能的毒性预测中取得的进展,用于药物发现
Hyundo Lee1, Jisan Kim1, Ji-Woon Kim2
1Department of Global Innovative Drugs, Chung-Ang University, Seoul, Republic of Korea.
Frontiers in chemistry
|July 23, 2025
概括
人工智能 (AI) 正在通过早期毒性预测来彻底改变药物发现. 这加快了更安全的候选药物的识别,减少了昂贵的晚期失败,提高了公共安全.
科学领域:
- 药理学 药理学是指药理学的学科.
- 毒理学 毒理学 毒理学
- 计算化学计算化学
背景情况:
- 毒性评估对于公共安全和药物开发至关重要.
- 传统的毒性测试是复杂的,耗时的,资源密集的.
- 晚期毒性失败导致药物开发中的重大财务损失.
研究的目的:
- 审查人工智能 (AI) 在预测化学毒性的作用.
- 突出AI对早期药物发现和安全性评估的影响.
- 检查AI在预测各种毒性终点方面的能力.
主要方法:
- 对计算方法的审查,包括in silico建模和虚拟选.
- 对人工智能算法和用于毒性预测的多种分子表示的检查.
- 对AI在预测肝毒性,心脏毒性和基因毒性等终点中的应用进行分析.
主要成果:
- 人工智能模型可以预测广泛的毒性终点.
- 人工智能利用不同的分子表示,从描述器到基于图形的方法.
- 数据,算法和计算能力的进步提高了AI的预测能力.
结论:
- 人工智能显著加速了早期药物发现中的毒性预测.
- 人工智能集成提高了安全评估的效率和可靠性.
- 人工智能正在通过提前识别潜在的毒性来改变制药研究.
更多相关视频
09:01A High-throughput Assay for the Prediction of Chemical Toxicity by Automated Phenotypic Profiling of Caenorhabditis elegans
Published on: March 14, 2019
7.3K
10:21Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA
Published on: February 23, 2024
2.9K
相关概念视频
Drug Discovery: Overview
8.8K
Drug discovery is a multifaceted process involving extensive screening, testing, and optimization of lead compounds to identify potential new drugs for therapeutic use. It combines several approaches, including screening large numbers of natural products, chemical modification of known active molecules, identification of new drug targets, and rational design based on biological mechanisms and drug-receptor structure. These approaches are carried out in both academic research laboratories and...
8.8K
Structure-Activity Relationships and Drug Design
1.1K
Drug design is a dynamic field that involves discovering and developing new medications based on specific biological targets. This process heavily relies on structure-activity relationships (SAR) and quantitative structure-activity relationships (QSAR) to guide the design and optimization of efficient drugs.
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence...
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence...
1.1K
