Multistate and functional protein design using RoseTTAFold sequence space diffusion
Crossref REST API · 學術索引收錄 · 來源發佈:Wed Sep 25 2024 00:00:00 GMT+0000 (Coordinated Universal Time) · 本站收錄:Thu Oct 08 2026 09:21:33 GMT+0000 (Coordinated Universal Time)
已保存的原文節選
Abstract Protein denoising diffusion probabilistic models are used for the de novo generation of protein backbones but are limited in their ability to guide generation of proteins with sequence-specific attributes and functional properties. To overcome this limitation, we developed ProteinGenerator (PG), a sequence space diffusion model based on RoseTTAFold that simultaneously generates protein se
以上為帶出處的原文節選,完整內容請閱讀原始鏈接。自動收錄與主題分類不等於事實核驗。