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English(EN) DrugHarness: An Evolvable Agent Harness for Computational Drug Discovery

新的代理系统加速计算药物发现

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了DrugHarness，一个旨在加速计算药物发现的可进化代理系统。该系统集成了80多个科学操作和生物医学资源，使代理能够组合科学任务并根据反馈进行调整。与现有方法相比，DrugHarness在分子筛选和优化方面表现出更高的准确性，其进化能力显著提高了性能。在一项前瞻性研究中，DrugHarness获得了一种效价化合物，其细胞IC50为14.19 nM，有望将计算设计与实验验证联系起来。 AI

影响 通过自动化复杂的科学任务，有潜力显著加速药物发现流程。

排序理由 详细介绍新计算药物发现系统的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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新的代理系统加速计算药物发现

本文如何被排名

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详细介绍新计算药物发现系统的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
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报道来源 [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：一个可进化的智能体Harness，用于计算药物发现

    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…

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