A Unified View of Relational Deep Learning for Drug Pair Scoring
2021-11-04Code Available1· sign in to hype
Benedek Rozemberczki, Stephen Bonner, Andriy Nikolov, Michael Ughetto, Sebastian Nilsson, Eliseo Papa
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- github.com/astrazeneca/polypharmacy-ddi-synergy-surveyOfficialIn papernone★ 98
- github.com/benedekrozemberczki/tigerlilynone★ 100
- github.com/benedekrozemberczki/benedekrozemberczkipytorch★ 3
Abstract
In recent years, numerous machine learning models which attempt to solve polypharmacy side effect identification, drug-drug interaction prediction and combination therapy design tasks have been proposed. Here, we present a unified theoretical view of relational machine learning models which can address these tasks. We provide fundamental definitions, compare existing model architectures and discuss performance metrics, datasets and evaluation protocols. In addition, we emphasize possible high impact applications and important future research directions in this domain.