EventsMOL2NET'18, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 4th ed.
Event submissions
Published
with-doi10.3390/mol2net-04-05134
This submission belongs to the session 06. CHEMBIOMOL-04: Chem. Biol. & Med. Chem. Workshop, Paraiba, Porto, Rostock, Germany-Galveston, Texas, USA, 2018 of the event MOL2NET'18, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 4th ed.
Published date
20 Mar, 2018
Citation
Víctor Yáñez, Amanda Sánchez-Recillas, <strong>Predicting Compound-Protein Interactions in GPCR Network</strong>, 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-04-05134
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Predicting Compound-Protein Interactions in GPCR Network

Víctor Yáñez 1
Amanda Sánchez-Recillas 1
1. Laboratory of Pharmacology, Faculty of Chemistry, Autonomous University of Yucatán (UADY), 97069, Mérida, Yucatán, México.
Abstract
Keywords
ChEMBL
G protein-coupled receptors (GPCRs)
Signaling pathways
Perturbation Theory
Machine Learning
Poster
Predicting Compound-Protein Interactions in GPCR Network.pdf
Predicting Compound-Protein Interactions in GPCR Network.pdf