102 citations · 186 across the 4 of their papers we have counts for
4 papers
EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction
Hannes Stärk, Octavian-Eugen Ganea, Lagnajit Pattanaik +2
Predicting how a drug-like molecule binds to a specific protein target is a core problem in drug discovery. An extremely fast computational binding method would enable key applicat…
Learning 3D Representations of Molecular Chirality with Invariance to Bond Rotations
Keir Adams, Lagnajit Pattanaik, Connor W. Coley
Molecular chirality, a form of stereochemistry most often describing relative spatial arrangements of bonded neighbors around tetrahedral carbon centers, influences the set of 3D c…
GeoMol: Torsional Geometric Generation of Molecular 3D Conformer Ensembles
Octavian-Eugen Ganea, Lagnajit Pattanaik, Connor W. Coley +4
Prediction of a molecule's 3D conformer ensemble from the molecular graph holds a key role in areas of cheminformatics and drug discovery. Existing generative models have several d…
Message Passing Networks for Molecules with Tetrahedral Chirality
Lagnajit Pattanaik, Octavian-Eugen Ganea, Ian Coley +3
Molecules with identical graph connectivity can exhibit different physical and biological properties if they exhibit stereochemistry-a spatial structural characteristic. However, m…