Pretraining Graph Transformers with Atom-in-a-Molecule Quantum Properties for Improved ADMET Modeling

We evaluate the impact of pretraining Graph Transformer architectures on atom-level quantum-mechanical features for the modeling of absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties of drug-like compounds. We compare this pretraining strategy with two others: one based...

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Hauptverfasser:	Fallani, Alessio, Nugmanov, Ramil, Arjona-Medina, Jose, Wegner, Jörg Kurt, Tkatchenko, Alexandre, Chernichenko, Kostiantyn
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Learning
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