EventsMOL2NET'23, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 9th ed.
Published
This submission belongs to the session 02. CHEMBIO.MOL-09: Org. Chem., Med. Chem., Mol. Biol., & Pharm. Industry Congress, Paris, France-Fargo, USA, 2023. of the event MOL2NET'23, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 9th ed.
Published date
15 Jun, 2023
Academic Editor
author-avatarMOL2NET Team
Citation
Humbert Gonzalez-Diaz, Begoña Bilbao, Sonia Arrasate, Shan He, AIMOFGIFT: Towards AI-Driven Metal Organic Framework Drug Delivery Systems Design, in Proceedings of MOL2NET'23, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 9th ed., 25 December–31 December 2023, MDPI: Basel, Switzerland
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AIMOFGIFT: Towards AI-Driven Metal Organic Framework Drug Delivery Systems Design

Begoña Bilbao 1
Shan He 2
image
1. Department of Organic Chemistry II, Faculty of Science and technology, University of the Basque Country UPV/EHU, 48940, Leioa, Spain.
2. Department of Organic and Inorganic Chemistry, Faculty of Science and technology, University of the Basque Country UPV/EHU, 48940, Leioa, Spain.
3. Department of Organic and Inorganic Chemistry, University of the Basque Country UPV/EHU, 48940, Bilbao, Spain.
4. Department of Organic Chemistry II, University of the Basque Country (UPV/EHU), Biscay, Spain
5. IKERBASQUE, Basque Foundation for Science, 48011, Bilbao, Spain.
Abstract
Keywords
MOF
AI
ML
Cheminformatics
Gastrointestinal tract
Cancer
Manuscript
Poster
AIMOFGIFT MOL2NET conference.pdf