Skip to main navigation
Skip to search
Skip to main content
UNT Health Home
Home
Research units
Profiles
Publications
Sponsored Projects
Core Facilities
Search by expertise, name or affiliation
I-GAT: Interpretable Graph Attention Networks for Ligand Optimization
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'I-GAT: Interpretable Graph Attention Networks for Ligand Optimization'. Together they form a unique fingerprint.
Graph Attention Network
Keyphrases
100%
Metabotropic Glutamate Receptor
Neuroscience
100%
Metabotropic Receptor
Neuroscience
100%
Receptor
Neuroscience
100%
Allosteric Modulator
Pharmacology, Toxicology and Pharmaceutical Science
100%
Decision-Making
Neuroscience
50%
Drug Discovery
Pharmacology, Toxicology and Pharmaceutical Science
50%
Transfer of Learning
Biochemistry, Genetics and Molecular Biology
50%
Cite this