Predicting the secondary structure of a protein (alpha-helix, beta-sheet, coil) is an important step towards elucidating its three dimensional structure, as well as its function. In this research we ...

Integrating ESM-2 and Graph Neural Networks with AlphaFold-2 Structures for Enhanced Protein Function Prediction Thi-Tuyen Nguyen Zhuocheng Jiang Van-Nui Nguyen ...

The key challenge in the development of a target property polymer stems from the unclear structure–property relationship (SPR). A multimodal graph neural network (GNN) framework, GeoALBEF, is proposed ...

Graph neural networks have a variety of applications in different fields of science where graph theory has its application. One of such fields is indoor localization and mapping problems. One of ...

Photo: Amazon Neural networks aren’t the only game in artificial intelligence, but you’d be forgiven for thinking otherwise after the hot streak sparked by ChatGPT’s arrival in 2022.