Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization by rapidly predicting molecular interactions and properties. For instance, ...

Learn how large language models like ChatGPT make knowledge graph creation accessible, revealing hidden connections in your ...

If you plan to use machine learning for research, consider ChatGPT’s shortcomings and inquire about AI tools’ training data and benchmarking performance ...

This study identifies 53BP1 as an interaction partner of GMCL1 (a likely CUL3 substrate receptor). The study seeks to link this finding to regulation of the mitotic surveillance pathway and paclitaxel ...

To address above concerns, this paper proposes a layer pruning method based on the graph structure of feature representations, which can simultaneously lightweight the neural network architecture, ...

ProtSSN is a valuable approach that generates protein embeddings by integrating sequence ... contacts with protein language models and equivariant graph neural networks. The encoded hidden ...

A new AI model developed by researchers at the Eric and Wendy Schmidt Center at the Broad Institute and ETH Zurich's Department of Health Science and Technology can identify genes that have been ...

Researchers from Ruhr University Bochum, Germany, have developed a new method that allows them to visualize the contribution ...