pepADMET:一种新的计算平台,用于对的系统ADMET评估
Xiaorong Tan1,2, Qianhui Liu1, Mengting Zhou1
1Xiangya School of Pharmaceutical Sciences, Central South University, Changsha 410083, P. R. China.
Journal of chemical information and modeling
|January 9, 2026
概括
一个新的AI平台,pepADMET,可以预测的吸收,分布,新陈代谢,分泌和毒性 (ADMET) 特性. 该工具通过为各种类型提供准确,全面的ADMET评估来增强类药物设计.
科学领域:
- 药理学 药理学是指药理学的学科.
- 计算化学的计算化学
- 人工智能在药物发现中的作用
背景情况:
- 类疗法比小分子和蛋白质药物具有优势,但由于ADMET的性能不足,它在有效性和安全性方面面临挑战.
- 目前评估ADMET的方法有限,阻碍了临床开发和药物设计.
- 针对基ADMET预测的全面而准确的平台对于推进基于基的药物发现至关重要.
研究的目的:
- 开发首个公开可访问的人工智能驱动平台 pepADMET,用于系统和全面评估ADMET的特性.
- 整合大型数据集和先进的AI模型,以提高ADMET预测的准确性和稳定性.
- 提供一个统一的资源,用于评估不同的类型,并对生物变异性进行核算.
主要方法:
- 开发了pepADMET,这是一个集成36643个数据输入的AI平台,涵盖了19个ADMET端点.
- 采用分子图表表示,酶描述器,并通过图神经网络和关系图卷积网络转移学习.
- 引入了MLR-GAT,这是一个新的多层次框架,用于对层次类毒性预测.
主要成果:
- ADMET平台表现出对ADMET特性的增强预测性能和稳定性.
- MLR-GAT有效地预测了除了血溶性毒性之外的多种类型的毒性.
- 该平台独特地支持线性,循环,改性和天然,考虑到物种,器官和细胞系的变异性.
结论:
- pepADMET为的多性质ADMET评估提供了一个统一,准确和智能框架.
- 该平台通过提供精确和生物相关的ADMET预测,显著推进类药物设计和开发.
- pepADMET 作为一个有价值的在线资源,用于研究人员和开发人员在治疗领域.
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