The gene ontology knowledgebase in 2023
Abstract The Gene Ontology (GO) knowledgebase (http://geneontology. org) is a
comprehensive resource concerning the functions of genes and gene products (proteins …
comprehensive resource concerning the functions of genes and gene products (proteins …
Scientific discovery in the age of artificial intelligence
Artificial intelligence (AI) is being increasingly integrated into scientific discovery to augment
and accelerate research, helping scientists to generate hypotheses, design experiments …
and accelerate research, helping scientists to generate hypotheses, design experiments …
[PDF][PDF] The gene ontology knowledgebase in 2023
Abstract The Gene Ontology (GO) knowledgebase (http://geneontology. org) is a
comprehensive resource concerning the functions of genes and gene products (proteins …
comprehensive resource concerning the functions of genes and gene products (proteins …
Enzyme function prediction using contrastive learning
Enzyme function annotation is a fundamental challenge, and numerous computational tools
have been developed. However, most of these tools cannot accurately predict functional …
have been developed. However, most of these tools cannot accurately predict functional …
Graph neural networks: foundation, frontiers and applications
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 …
recent years. Graph neural networks, also known as deep learning on graphs, graph …
Understudied proteins: opportunities and challenges for functional proteomics
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 …
focused on a limited set of increasingly well-known proteins while the biological functions of …
Artificial intelligence and illusions of understanding in scientific research
L Messeri, MJ Crockett - Nature, 2024 - nature.com
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 …
improve research. Why are AI tools so attractive and what are the risks of implementing them …
Protein representation learning by geometric structure pretraining
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 …
predicting protein function or structure. Existing approaches usually pretrain protein …
Utilizing graph machine learning within drug discovery and development
Graph machine learning (GML) is receiving growing interest within the pharmaceutical and
biotechnology industries for its ability to model biomolecular structures, the functional …
biotechnology industries for its ability to model biomolecular structures, the functional …
[HTML][HTML] Structure-based protein function prediction using graph convolutional networks
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 …
their functions challenge computational approaches for automated function prediction. Here …