GPCR Ligand Bioactivity Prediction with Physics-Informed Dual-State Query Learning
Quantum/Chemistry
A physics-informed dual-state query learning framework for GPCR ligand bioactivity prediction, addressing the neglect of dynamic conformational equilibria in existing deep learning approaches to improve functional efficacy discrimination.
See LICENSE file GPCR ligandbioactivity predictionphysics-informed learning