arXiv · cs.AI · Fang Wu, Hongbin Lin, Bingchen Duan, Yuchen Wang, Li Erran Li, Yanjie Huang, Mingxuan Cao, Yijun Ma, Yunxiang Mo, Yanchao Li, Kuan Pang, Juangui Xu, Hanqun Cao, Dongwei Jiang, Xinyue Xu, Xiangru Tang, Zehong Wang, Jian Ma, Kejun Ying, Guanlue Li, Mingran Cao, Fanjin Wang, Tianfan Fu, Shuangjia Zheng, Yao Shu, Jure Leskovec, Yejin Choi · 7 小时前模型评分54
ProteoCraft 将蛋白质设计转化为提议-验证搜索
ProteoCraft: Protein Design as Proposal-Verification Search
导读
研究团队提出 ProteoCraft，把蛋白质设计当作组合序列空间上的搜索优化问题，用扩散结构预测器给出的近似结构梯度决定搜索方向，再用折叠模型的无梯度推理给候选序列打分。
分类置信度
中 · 待人工复核
- 只有单一媒体来源，需要人工复核。
来源级别：媒体与个人
应用领域：医疗与生命科学、科学研究
事件类型：研究发布
证据摘录
- “Toward this goal, we introduce a novel tree-based search framework, ProteoCraft, that employs approximate structural gradients from diffusion-based structure predictors as effective proposal policies to specify where the search should explore.”
- “Our code is available at this https URL .”
来源：arXiv · cs.AI · arxiv.org