English(EN) SurfSpec: Enhancing Off-Target-Agnostic Specificity by Bounding Pocket-Ligand Geometric Mismatch

SurfSpec框架利用几何不匹配提高药物先导化合物的特异性

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-02 05:59

研究人员开发了SurfSpec，一个用于基于结构的药物设计中先导化合物优化的新框架。该方法通过关注配体与其目标口袋之间的几何不匹配来提高特异性，而无需脱靶结构的信息。SurfSpec通过将配体生长到目标口袋表面的特定区域来迭代地优化配体，在CrossDocked2020测试集上展示了改进的经验特异性和竞争性靶亲和力改进。 AI

影响这项研究通过改进先导化合物优化计算方法，可能带来更高效、更具针对性的药物发现过程。

排序理由该集群描述了一篇关于药物设计新计算框架的科学论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 Hugging Face Daily Papers 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该集群描述了一篇关于药物设计新计算框架的科学论文。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration: Single-source cluster; 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: paper, other; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
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Story freshness: 8 days old; Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

报道来源 [1]

Hugging Face Daily Papers TIER_1 English(EN) · 2026-09-02 05:59

SurfSpec：通过限制口袋-配体几何不匹配来增强脱靶无关特异性

Lead optimization in structure-based drug design aims to improve target binding while avoiding unintended interactions with off-target pockets. However, existing affinity-driven methods do not explicitly control specificity, whereas current specificity-aware approaches commonly r…

本文如何被排名

报道来源 [1]

SurfSpec：通过限制口袋-配体几何不匹配来增强脱靶无关特异性

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