Molecular Modelling and Drug Discovery

Molecular Modelling and Drug Discovery

Welcome to this space dedicated to the M2D2 Talks co-organized by Valence Discovery and Mila - Quebec AI Institute. From applied research papers to open source projects, we're hoping to use these talks to help demystify AI for drug discovery and make the field more accessible for newcomers. M2D2 will bring our vibrant AI & drug discovery communities together and spark new perspectives, provoke discussions, and offer a safe space to share new ideas. For the best experience, please visit our YouTube channel where slides and video presentations can be referenced.

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Episoder(60)

Data-Efficient Graph Grammar Learning for Molecular Generation - Minghao Guo

Data-Efficient Graph Grammar Learning for Molecular Generation - Minghao Guo

If you enjoyed this talk, consider joining the Molecular Modeling and Drug Discovery (M2D2) talks live: https://valence-discovery.github.io/M... Also consider joining the M2D2 Slack: https://join.sla...

2 Jun 202258min

Improving Few- and Zero-Shot Reaction Template Prediction Using Modern Hopfield Nets - Philipp Seidl

Improving Few- and Zero-Shot Reaction Template Prediction Using Modern Hopfield Nets - Philipp Seidl

If you enjoyed this talk, consider joining the Molecular Modeling and Drug Discovery (M2D2) talks live: https://valence-discovery.github.io/M... Also consider joining the M2D2 Slack: https://join.sla...

26 Mai 20221h

Bayesian Optimization for Ternary Complex Prediction - Noah Weber

Bayesian Optimization for Ternary Complex Prediction - Noah Weber

If you enjoyed this talk, consider joining the Molecular Modeling and Drug Discovery (M2D2) talks live: https://valence-discovery.github.io/M... Also consider joining the M2D2 Slack: https://join.sla...

22 Mai 202247min

Learning 3D Representations of Molecular Chirality with Invariance to Bond Rotations - Keir Adams

Learning 3D Representations of Molecular Chirality with Invariance to Bond Rotations - Keir Adams

If you enjoyed this talk, consider joining the Molecular Modeling and Drug Discovery (M2D2) talks live: https://valence-discovery.github.io/M... Also consider joining the M2D2 Slack: https://join.sla...

11 Mai 20221h 9min

Exposing the Limitations of Molecular Machine Learning with Activity Cliffs - Derek van Tilborg

Exposing the Limitations of Molecular Machine Learning with Activity Cliffs - Derek van Tilborg

If you enjoyed this talk, consider joining the Molecular Modeling and Drug Discovery (M2D2) talks live: https://valence-discovery.github.io/M... Also consider joining the M2D2 Slack: https://join.sla...

5 Mai 20221h 4min

Can Graph Neural Networks Understand Chemistry? - Dominique Beaini

Can Graph Neural Networks Understand Chemistry? - Dominique Beaini

If you enjoyed this talk, consider joining the Molecular Modeling and Drug Discovery (M2D2) talks live: https://valence-discovery.github.io/M... Also consider joining the M2D2 Slack: https://join.sla...

20 Apr 20221h 7min

Epistemic Uncertainty Estimation for Efficient Search of Drug Candidates - Moksh Jain

Epistemic Uncertainty Estimation for Efficient Search of Drug Candidates - Moksh Jain

If you enjoyed this talk, consider joining the Molecular Modeling and Drug Discovery (M2D2) talks live: https://valence-discovery.github.io/M... Also consider joining the M2D2 Slack: https://join.sla...

14 Apr 20221h 3min

RECOVER: Efficient exploration of the drug combination space via model-guided in vitro experiments - Paul Bertin

RECOVER: Efficient exploration of the drug combination space via model-guided in vitro experiments - Paul Bertin

If you enjoyed this talk, consider joining the Molecular Modeling and Drug Discovery (M2D2) talks live: https://valence-discovery.github.io/M... Also consider joining the M2D2 Slack: https://join.slac...

7 Apr 202255min

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