Accurate protein-protein interactions modeling through physics-informed geometric invariant learning

Nature·Mar 27

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1

A multi-grained symmetric differential equation model for learning protein-ligand binding dynamics

Nature·Dec 30

2

A physics-informed graph neural network conserving linear and angular momentum for dynamical systems

Nature·Jan 15

3

Artificial intelligence advancements in monoclonal antibody development technology

Frontiers·Jun 1

4

How Advanced Artificial Intelligence Technologies Shape Drug–Drug and Drug–Target Interaction Modeling

Wiley & Sons·May 29

5

Vol. 39 No. 1: AAAI-25 Technical Tracks 1

The Association for the Advancement of Artificial Intelligence·Apr 11

6

Navigating structure-based drug discovery with emerging innovations in physics- and knowledge-based approaches

Nature·Dec 1

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PRosettaC outperforms AlphaFold3 for modeling PROTAC ternary complexes | Scientific Reports

Nature·Oct 28

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PeSTo: parameter-free geometric deep learning for accurate prediction of protein binding interfaces

Nature·Apr 18