Drug Discovery Pipeline Optimization with GNNs

Cheminformatics › AI Chemical Graph Neural Network Research

Drug Discovery Pipeline Optimization with GNNs

Interns will design neural network systems to screen large chemical libraries for drug candidates, focusing on structure-activity relationship learning. They will integrate GNNs with virtual screening workflows to identify promising compounds and validate predictions against experimental data.

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