EventsMOL2NET'18, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 4th ed.
Event submissions
Published
with-doi10.3390/mol2net-04-05314
This submission belongs to the session 02. USEDAT-04: USA-Europe Data Analysis Training Program Workshop, Cambridge, UK-Bilbao, Spain-Miami, USA, 2018 of the event MOL2NET'18, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 4th ed.
Published date
09 Jun, 2018
Citation
Luis Alberto Torres-Gomez, Yaima Garcia Guevara, Enoel Hernández Barreto, Modeling and prediction of anti-inflammatory activity in compounds of natural and synthetic origin, in Proceedings of MOL2NET'18, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 4th ed., 15 January 2018–20 January 2019, MDPI: Basel, Switzerland, doi: 10.3390/mol2net-04-05314
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Modeling and prediction of anti-inflammatory activity in compounds of natural and synthetic origin

Luis Alberto Torres-Gomez 1
Yaima Garcia Guevara 2
Enoel Hernández Barreto 3
1. Department of Pharmacy. Institute of Pharmacy and Foods. University of the Havana
2. Company Laboratories AICA
3. Department of Farmacy. Central University of Las Villas
Abstract
Keywords
pharmacological properties Discriminant analysis
Poster
mol2net-03-MOL2NET-2017 Luis1.pdf
mol2net-03-MOL2NET-2017 Luis1.pdf