An international team of scientists has discovered that a small, low-abundance protein plays a surprisingly big role in ...
Gene therapy holds the promise of preventing and curing disease by manipulating gene expression within a patient's cells. However, to be effective, the new gene must make it into a cell's nucleus. The ...
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Spatial proteomics: Mapping protein organization across cells and tissues
Advancements in spatial proteomics enable detailed tissue mapping, linking protein localization to disease mechanisms and enhancing translational research.
1 Neuroscience Program, University of Scranton, Scranton, PA, United States 2 Department of Biology, University of Scranton, Scranton, PA, United States Enzymes within the cholesterol biosynthesis ...
Abstract: Proteins serve as the essential executors of cellular activities, and their mislocalization often resulting in diverse diseases. Traditional methods for determining protein subcellular ...
EGA-Ploc is an advanced deep learning framework for multi-label protein subcellular localization prediction from immunohistochemistry (IHC) images. This repository contains the official implementation ...
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 ...
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 ...
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 ...
Abstract: Accurate prediction of protein subcellular localization is critical for understanding cellular functions and guiding drug design. However, current computational methods have limited and ...
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