Protein subcellular localization prediction is of great significance in bioinformatics and
biological research. Most of the proteins do not have experimentally determined localization …

In bioinformatics, machine learning methods have been used to predict features embedded
in the sequences. In contrast to what is generally assumed, machine learning approaches …

Developments in subcellular fractionation strategies have provided the means to profile and
analyze the protein composition of organelles and cellular structures by proteomics. Here …

The eukaryotic phylum Apicomplexa encompasses thousands of obligate intracellular
parasites of humans and animals with immense socio-economic and health impacts. We …

Predicting subcellular localization has become a valuable alternative to time-consuming
experimental methods. Major drawbacks of many of these predictors is their lack of …

The subcellular location database for Arabidopsis proteins (SUBA3, http://suba. plantenergy.
uwa. edu. au) combines manual literature curation of large-scale subcellular proteomics …

Metallochaperones are key proteins for the safe transport of metallic ions inside the cell.
HIPP s (heavy metal‐associated isoprenylated plant proteins) are metallochaperones that …

Background Knowledge of subcellular localization of proteins is crucial to proteomics, drug
target discovery and systems biology since localization and biological function are highly …

Pyrenoids are microcompartments that are universally found in the photosynthetic plastids of
various eukaryotic algae. They contain ribulose-1, 5-bisphosphate carboxylase/oxygenase …

Motivation: Knowing the subcellular location of proteins is critical for understanding their
function and develo** accurate networks representing eukaryotic biological processes …