What if a complex material could reshape itself in response to a simple chemical signal? A team of physicists from the ...

Accurate extraction of molecular representations is a critical step in the drug discovery process. In recent years, significant progress has been made in molecular representation learning methods, ...

To generate RNTraj, we design a diffusion model called Diff-RNTraj, which can effectively handle the hybrid RNTraj using a continuous diffusion framework by incorporating a pre-training strategy to ...

DCGCN decomposes the 3D point cloud data of a molecule into three components: atomic sequence, atomic connectivity, and a distance map. From its connectivity and distance information, DCGCN captures ...

However, predicting the three-dimensional (3D) structure of RNA remains challenging. Applying artificial intelligence techniques in the context of natural language processing and large language models ...