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New agent harness accelerates computational drug discovery

Researchers have developed DrugHarness, an evolvable agent system designed to accelerate computational drug discovery. This system integrates over 80 scientific operations and biomedical resources, enabling agents to compose scientific tasks and adapt based on feedback. DrugHarness demonstrates improved accuracy in molecular screening and optimization compared to existing methods, and its evolutionary capabilities significantly enhance performance. In a prospective study, DrugHarness achieved a potent compound with a cellular IC50 of 14.19 nM, showing promise for connecting computational design with experimental validation. AI

IMPACT Potential to significantly speed up the drug discovery pipeline by automating complex scientific tasks.

RANK_REASON Academic paper detailing a new computational drug discovery system. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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New agent harness accelerates computational drug discovery

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Academic paper detailing a new computational drug discovery system. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Yuxing Chen, Zhisheng Zhang, Cheng Tang, Wei Li, Minghui Zhang, Ziyan Huang, Shaocong Wei, Jiawei Chen, Junru Hu, Hongze Zhu, Jianghan Shen, Min Cen, Xinyuan Zhu, Yaxue Zhao, Jubo Wang, Yuqiang Li, Chun-Mei Feng, Zongyuan Ge, Rui Su, Jie Xu, Yirong Chen,… ·

    DrugHarness: An Evolvable Agent Harness for Computational Drug Discovery

    arXiv:2610.23791v1 Announce Type: new Abstract: Computational drug discovery requires agents to compose scientific operations and adapt to changing evidence and constraints. Here we introduce DrugHarness, an evolvable agent harness coupling composable scientific execution with co…