PRO‐LDM: A Conditional Latent Diffusion Model for Protein Sequence Design and Functional Optimization

Abstract The diffusion model has grasped enormous attention in the computer vision field and emerged as a promising algorithm in protein design for precise structure and sequence generation. Here PRO‐LDM is introduced: a modular multi‐tasking framework combining design fidelity and computational eff...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Sitao Zhang, Zixuan Jiang, Rundong Huang, Wenting Huang, Siyuan Peng, Shaoxun Mo, Letao Zhu, Peiheng Li, Ziyi Zhang, Emily Pan, Xi Chen, Yunfei Long, Qi Liang, Jin Tang, Renjing Xu, Rui Qing
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Wiley 2025-09-01
coleção:	Advanced Science
Assuntos:	conditional generation functional optimization latent diffusion models protein sequence design
Acesso em linha:	https://doi.org/10.1002/advs.202502723
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!