English(EN) MolWorld: Molecule World Models for Actionable Molecular Optimization

MolWorld框架为药物发现实现可操作的分子优化

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-05 04:00

研究人员开发了MolWorld，一个用于药物发现中可操作分子优化的新颖框架。该系统将分子优化建模为分子转移图的迭代扩展，其中边代表匹配分子对（MMP）关系。MolWorld使用潜在分子世界模型来预测局部结构扩展，并提出在已知化合物中保持结构连通性的候选分子，从而促进了顺序和可解释的分子设计。 AI

影响通过保持结构连通性，实现了药物发现中更具可解释性和结构化的分子设计。

排序理由该集群包含一篇详细介绍新的分子优化框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

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本文如何被排名

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Newsworthiness bucket: Tool; 该集群包含一篇详细介绍新的分子优化框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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arXiv cs.AI TIER_1 English(EN) · Yang Qiao, Bo Pan, Hao-Wei Pang, Peter Zhiping Zhang, Liying Zhang, Liang Zhao · 2026-10-05 04:00

MolWorld：用于可操作分子优化的分子世界模型

arXiv:2605.08954v2 Announce Type: replace-cross Abstract: Molecular optimization in drug discovery aims to discover molecules with improved target properties, but practical lead optimization often requires more than high predicted scores. A useful candidate should also be actiona…