Artificial intelligence-assisted lead optimization in drug discovery: bridging computational advances and translational challenges.
- DOI
- 10.1007/s00044-026-03616-4
- Published
- 2026 Sep 17
- Container
- Medicinal chemistry research : an international journal for rapid communications on design and mechanisms of action of biologically active agents
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1007/s00044-026-03616-4,
title = {Artificial intelligence-assisted lead optimization in drug discovery: bridging computational advances and translational challenges.},
author = {Mohamed FAAA and El-Sagheir AMK},
year = {2026},
journal = {Medicinal chemistry research : an international journal for rapid communications on design and mechanisms of action of biologically active agents},
doi = {10.1007/s00044-026-03616-4},
url = {https://doi.org/10.1007/s00044-026-03616-4}
}RIS
TY - JOUR TI - Artificial intelligence-assisted lead optimization in drug discovery: bridging computational advances and translational challenges. AU - Mohamed FAAA AU - El-Sagheir AMK PY - 2026 JO - Medicinal chemistry research : an international journal for rapid communications on design and mechanisms of action of biologically active agents DO - 10.1007/s00044-026-03616-4 UR - https://doi.org/10.1007/s00044-026-03616-4 ER -
APA
FAAA, M., & AMK, E. (2026). Artificial intelligence-assisted lead optimization in drug discovery: bridging computational advances and translational challenges.. Medicinal chemistry research : an international journal for rapid communications on design and mechanisms of action of biologically active agents. https://doi.org/10.1007/s00044-026-03616-4
Source records
- pubmed · retrieved 2026-09-25T19:05:58.593Z
- europe-pmc · retrieved 2026-09-25T19:05:58.586Z