通过基于指纹的堆叠组合模型预测IDO1抑制剂,该模型名为IDO1Stack
Huimin Sun1, Qing Yang2, Xinxin Yu1
1Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, Shanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science and Technology, 130 Meilong Road, Shanghai, 200237, China.
ChemMedChem
|June 21, 2023
概括
我们开发了IDO1Stack,这是一款机器学习模型,用于预测用于癌症免疫疗法的里胺2,3-二氧化酶1 (IDO1) 抑制剂. 该工具有助于快速选和发现新的IDO1向药物.
科学领域:
- 计算化学是一种计算化学.
- 药物发现 药物发现
- 免疫治疗是一种免疫疗法.
背景情况:
- 印度醇胺2,3-二氧化酶1 (IDO1) 是癌症免疫疗法的关键标.
- 开发有效的IDO1抑制剂对于推进癌症治疗至关重要.
研究的目的:
- 开发一个强大的计算模型来预测IDO1抑制剂.
- 为加速新型IDO1向药物的发现提供可靠的工具.
主要方法:
- 构建了一个两层堆叠组合模型 (IDO1Stack).
- 利用了五个机器学习算法和八个分子描述器.
- 使用后勤回归作为元分类器.
主要成果:
- IDO1Stack实现了高预测性能,AUC值为0.952 (测试组) 和0.918 (外部验证组).
- 通过使用SHapley添加式扩展 (SHAP) 增强了模型的解释性.
- 确定了适用领域和特权子结构.
结论:
- IDO1Stack是一个可靠的工具,用于快速选和发现IDO1抑制剂.
- 该模型有助于理解药物开发中的目标-连接体相互作用.
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