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Utilizing graph machine learning within drug discovery and development
2021
Briefings in Bioinformatics
Graph machine learning (GML) is receiving growing interest within the pharmaceutical and biotechnology industries for its ability to model biomolecular structures, the functional relationships between them, and integrate multi-omic datasets — amongst other data types. Herein, we present a multidisciplinary academic-industrial review of the topic within the context of drug discovery and development. After introducing key terms and modelling approaches, we move chronologically through the drug
doi:10.1093/bib/bbab159
pmid:34013350
pmcid:PMC8574649
fatcat:qli5weqbsbhlvhhjjmgze4sjou