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...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	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
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Wiley 2025-09-01
Sarja:	Advanced Science
Aiheet:	conditional generation functional optimization latent diffusion models protein sequence design
Linkit:	https://doi.org/10.1002/advs.202502723
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