Researchers from MIT, Harvard, and the Broad Institute have unveiled PUPS, an AI method capable of predicting the location of any protein in any human cell line, even when both are previously untested ...

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 ...

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 protein variants ...

Spatial proteomics has emerged as a transformative approach in modern biomedical research. Unlike conventional proteomics, spatial proteomics preserves spatial context, enabling high-resolution ...

An international team has assembled the first large-scale, publicly available map to show the impact of mutations on where proteins end up in the cell. The team developed a high-throughput imaging ...

This fully updated volume explores a wide array of new and state-of-the-art tools and resources for protein function prediction. Beginning with in-depth overviews of essential underlying computational ...

The team developed a high-throughput imaging platform to assess the influence of nearly 3,500 mutations on protein location. They found that roughly one in six disease-causing mutations led to ...

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 ...