CAMBRIDGE, MA – A protein located in the wrong part of a cell can contribute to several diseases, such as Alzheimer’s, cystic fibrosis, and cancer. But there are about 70,000 different proteins and ...

Using a high-throughput fluorescence microscopy system and machine learning algorithms, oxidative stress-related changes in protein localization have been mapped by researchers from Japan. Furthermore ...

Predicting a protein's location within a cell can help researchers unlock a plethora of biological information that's critical for developing future scientific discoveries related to drug development ...

Cutting-edge AI software has emerged, holding the potential to revolutionize biological discoveries. By accurately predicting the location of proteins within cells, this software promises to open the ...

With MassiveFold, scientists have unlocked AlphaFold's full potential, making high-confidence protein predictions faster and more accessible, fueling breakthroughs in biology and drug discovery. Brief ...

In a recent study published in the journal Nature Machine Intelligence, researchers developed "DeepGO-SE," a method to predict gene ontology (GO) functions from protein sequences using a large, ...

Researchers developed a new machine learning method that, given a relevant amino acid sequence, can automatically predict the location of a protein in any human cell line down to the single-cell level ...

Localizatome contains comprehensive information about the stress-induced protein localization changes within living cells. It provides open access to subcellular protein localization data through a ...