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.

Den här podcasten är hämtad från ett öppet RSS-flöde och publiceras inte av Podme. Den kan innehålla reklam.

Avsnitt(60)

Euclidean Deep Learning Models for 3D Structures & Interactions of Molecules - Octavian-Eugen Ganea

Euclidean Deep Learning Models for 3D Structures & Interactions of Molecules - Octavian-Eugen Ganea

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...

31 Mars 20221h 10min

Quantum Machine-Learning for Drug-like Molecules - Clemens Isert

Quantum Machine-Learning for Drug-like Molecules - Clemens Isert

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...

24 Mars 202255min

Structured Refinement Network for Antibody Design - Wengong Jin

Structured Refinement Network for Antibody Design - Wengong Jin

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...

17 Mars 202258min

Unbiased De Novo Generation of Organic Molecular Materials - Thomas Cauchy

Unbiased De Novo Generation of Organic Molecular Materials - Thomas Cauchy

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...

10 Mars 202251min

Accelerating Organic Synthesis with Chemical Language Models - Philippe Schwaller

Accelerating Organic Synthesis with Chemical Language Models - Philippe Schwaller

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

2 Mars 20221h 1min

Scalable Geometric Deep Learning on Molecular Graphs - Nathan C. Frey

Scalable Geometric Deep Learning on Molecular Graphs - Nathan C. Frey

If you enjoyed this talk, consider joining the Molecular Modeling and Drug Discovery (M2D2) talks live: https://valence-discovery.github.io/M... Abstract: Deep learning in molecular and materials scie...

23 Feb 202259min

Bayesian Optimization over Combinatorial Structures - Aryan Deshwal

Bayesian Optimization over Combinatorial Structures - Aryan Deshwal

If you enjoyed this talk, consider joining the Molecular Modeling and Drug Discovery (M2D2) talks live: https://valence-discovery.github.io/M... Abstract: Scientists and engineers in diverse domains n...

16 Feb 202253min

Improving Generalization in Molecular Modelling Through Organization and Augmentation - Huaxiu Yao

Improving Generalization in Molecular Modelling Through Organization and Augmentation - Huaxiu Yao

If you enjoyed this talk, consider joining the Molecular Modeling and Drug Discovery (M2D2) talks live: https://valence-discovery.github.io/M... Abstract: Meta-learning transfers knowledge across task...

10 Feb 202257min

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