相关实验视频

Updated: Jul 17, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

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CIRCE:基于Web的平台,用于使用可解释的机器学习来预测大麻素受体配体

Nicola Gambacorta1,2, Fulvio Ciriaco3, Nicola Amoroso1

  • 1Dipartimento di Farmacia Scienze del Farmaco, Università degli Studi di Bari "Aldo Moro", Via E. Orabona, 4, I-70125 Bari, Italy.

Journal of chemical information and modeling
|September 7, 2023
PubMed
概括

开发有选择性的大麻素受体配体是具有挑战性的. 一个新的可解释的人工智能平台CIRCE,有助于设计有选择性的CB1R和CB2R配体,准确度为80%左右,识别药物发现的关键结构特征.

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