AI-driven biomolecular design: Modalities, models, and translation.

Saved in:
Bibliographic Details
Title: AI-driven biomolecular design: Modalities, models, and translation.
Authors: Azmat M; Institute for Advanced Study, Shenzhen University, Shenzhen, China; College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, 518060, China., Li W; Institute for Advanced Study, Shenzhen University, Shenzhen, China. Electronic address: liwenjin@szu.edu.cn.
Source: Biomaterials [Biomaterials] 2026 Jul 07; Vol. 336, pp. 124431. Date of Electronic Publication: 2026 Jul 07.
Publication Type: Journal Article; Review
Journal Info: Publisher: Elsevier Science Country of Publication: Netherlands NLM ID: 8100316 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1878-5905 (Electronic) Linking ISSN: 01429612 NLM ISO Abbreviation: Biomaterials Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1878-5905
DOI:10.1016/j.biomaterials.2026.124431