Understanding and manipulating the conformational behavior of a molecule in different solvent environments is of great ... Here, we showcase how our graph neural network (GNN)-based implicit solvent ...

pggb builds pangenome variation graphs from a set of input sequences. A pangenome variation graph is a kind of generic multiple sequence alignment. It lets us understand any kind of sequence variation ...

For these applications, graph is a natural and powerful tool for modeling and capturing dependency relationships between objects. Unlike conventional data, where each instance is represented in a ...

" The power system has undergone a remarkable transformation, evolving from traditional centralized paradigms to dispersed and dynamic characteristics marked by technological advancements and ...