Atomic unification in molecular AI
Other text in scientific journal, 2026

Artificial intelligence has rapidly advanced molecular science, yet progress has largely unfolded through specialized models tailored to specific tasks. In this issue of Cell , Peng et al. introduce PocketXMol, a unified 3D generative framework that reframes molecular design problems as conditional reconstruction of atomic interactions. Demonstrations across design scenarios highlight its potential in molecular engineering.

Author

Xiaozhi Fu

Chalmers, Life Sciences, Systems and Synthetic Biology

Cell

0092-8674 (ISSN) 1097-4172 (eISSN)

Vol. 189 7 1875-1876

Subject Categories (SSIF 2025)

Medical Biotechnology

Medical Life Sciences

DOI

10.1016/j.cell.2026.03.010

PubMed

41932325

More information

Latest update

4/14/2026