Abstract The Gene Ontology (GO) knowledgebase (http://geneontology. org) is a
comprehensive resource concerning the functions of genes and gene products (proteins …

Artificial intelligence (AI) is being increasingly integrated into scientific discovery to augment
and accelerate research, helping scientists to generate hypotheses, design experiments …

Abstract The Gene Ontology (GO) knowledgebase (http://geneontology. org) is a
comprehensive resource concerning the functions of genes and gene products (proteins …

Enzyme function annotation is a fundamental challenge, and numerous computational tools
have been developed. However, most of these tools cannot accurately predict functional …

The field of graph neural networks (GNNs) has seen rapid and incredible strides over the
recent years. Graph neural networks, also known as deep learning on graphs, graph …

Most research aiming at understanding the molecular foundations of life and disease has
focused on a limited set of increasingly well-known proteins while the biological functions of …

Scientists are enthusiastically imagining ways in which artificial intelligence (AI) tools might
improve research. Why are AI tools so attractive and what are the risks of implementing them …

Learning effective protein representations is critical in a variety of tasks in biology such as
predicting protein function or structure. Existing approaches usually pretrain protein …

Graph machine learning (GML) is receiving growing interest within the pharmaceutical and
biotechnology industries for its ability to model biomolecular structures, the functional …

The rapid increase in the number of proteins in sequence databases and the diversity of
their functions challenge computational approaches for automated function prediction. Here …