EventsMOL2NET'22, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 8th ed.
Event submissions
Published
with-doi10.3390/mol2net-08-12475
This submission belongs to the session 01. CHEMBIO.INFO-08: Cheminfo., Chemom., Comput. Chem. & Bioinfo., Congress München, GR-Cambridge, UK-Ch. Hill, USA, 2022. of the event MOL2NET'22, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 8th ed.
Published date
13 Apr, 2022
Academic Editor
author-avatarHumbert G. Díaz
Citation
Luis Alberto Torres-Gomez, Melisa Gil Chavez, Ivon Gonzalez Blanco, Prediction of antihistamine activity according to QSAR methods, in Proceedings of MOL2NET'22, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 8th ed., 1 January–15 January 2023, MDPI: Basel, Switzerland, doi: 10.3390/mol2net-08-12475
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Prediction of antihistamine activity according to QSAR methods

Luis Alberto Torres-Gomez 1
Melisa Gil Chavez 1
Ivon Gonzalez Blanco 1
1. Department of Pharmacy. Institute of Pharmacy and Foods. University of the Havana
Abstract
Keywords
antihistamine activity
QSAR
Manuscript
ATH.pdf