测试反向查的预测能力,以推断药物标,在机器学习的帮助下进行测试
Antoine Daina1, Vincent Zoete2,3
1Molecular Modeling Group, SIB Swiss Institute of Bioinformatics, CH-1015, Lausanne, Switzerland.
Communications chemistry
|May 9, 2024
概括
这项研究验证了机器学习使用庞大的数据集准确地预测了超过51%的小分子的蛋白质标. 这种方法有助于药物发现,多药理学和重定向努力.
科学领域:
- 计算化学是一种计算化学.
- 药物发现 药物发现
- 生物信息学是一种生物信息学.
背景情况:
- 类似性原理,即类似的分子表现出可比的生物活性,是药物研究的基石,用于目标识别.
- 之前的工作量化了这一原理,需要对其在推断宏分子标中的预测能力进行大规模验证.
研究的目的:
- 为推断蛋白质标进行相似性原理的预测能力进行大规模评估.
- 评估机器学习在使用广泛的外部数据集预测化合物-蛋白相互作用的能力.
主要方法:
- 对超过30万个活跃小分子的反向选与超过50万个化合物的生物活性数据集进行反向选.
- 使用机器学习算法来预测对外分子在2069种蛋白质中的目标概率.
主要成果:
- 机器学习成功地预测了正确的蛋白质点,对超过51%的外部分子的概率很高.
- 证明了强大的丰富性,证实了这种方法在支持各种药物发现应用中的实用性.
- 量化了蛋白质生物活性数据 (活性物质的数量和多样性) 对预测准确性的影响.
结论:
- 这项大规模的评估证实了机器学习在基于分子相似性来预测化合物-蛋白质标方面的有效性.
- 这些发现支持这些方法在表型查,多药理学和药物重用方面的应用.
- 提供了开发和基准测试预测模型的建议,强调需要大,高质量的,不重叠的数据集.
相关概念视频
Genetic Screens
4.9K
Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
4.9K
Drug Discovery: Overview
7.8K
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...
7.8K


