category
PNAS
date
Mar 12, 2026
slug
status
Published
summary
提出基于蛋白质结构信息的深度学习框架DeepDegradome，突破传统计算方法在PROTAC设计中的局限性，实现更高效的靶向蛋白降解分子生成。
tags
蛋白质组学
合成生物学
type
Post
📄 原文题目
DeepDegradome: A structure-aware deep learning framework for PROTAC and ligand generation against protein targets
🔗 原文链接
💡 AI 核心解读
提出基于蛋白质结构信息的深度学习框架DeepDegradome，突破传统计算方法在PROTAC设计中的局限性，实现更高效的靶向蛋白降解分子生成。
📝 英文原版摘要
Proceedings of the National Academy of Sciences, Volume 123, Issue 11, March 2026. <br />SignificanceTargeted protein degradation, particularly using PROTACs, offers a promising strategy to treat diseases. However, designing effective PROTACs remains challenging due to limitations in current computational methods. We introduce DeepDegradome, ...
- 作者:NotionNext
- 链接:https://tangly1024.com/article/32948bd6-1f96-813f-be27-e7f64926c908
- 声明:本文采用 CC BY-NC-SA 4.0 许可协议，转载请注明出处。
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