Subcellular fractionation methods and strategies for proteomics

YH Lee, HT Tan, MCM Chung - Proteomics, 2010 - Wiley Online Library
Developments in subcellular fractionation strategies have provided the means to profile and
analyze the protein composition of organelles and cellular structures by proteomics. Here …

Prediction of subcellular locations of proteins: where to proceed?

K Imai, K Nakai - Proteomics, 2010 - Wiley Online Library
Since the proposal of the signal hypothesis on protein subcellular sorting, a number of
computational analyses have been performed in this field. A typical example is the …

YLoc—an interpretable web server for predicting subcellular localization

S Briesemeister, J Rahnenfï¿ ½hrer… - Nucleic acids …, 2010 - academic.oup.com
Predicting subcellular localization has become a valuable alternative to time-consuming
experimental methods. Major drawbacks of many of these predictors is their lack of …

Going from where to why—interpretable prediction of protein subcellular localization

S Briesemeister, J Rahnenführer, O Kohlbacher - Bioinformatics, 2010 - academic.oup.com
Motivation: Protein subcellular localization is pivotal in understanding a protein's function.
Computational prediction of subcellular localization has become a viable alternative to …

Imbalanced multi-modal multi-label learning for subcellular localization prediction of human proteins with both single and multiple sites

J He, H Gu, W Liu - PloS one, 2012 - journals.plos.org
It is well known that an important step toward understanding the functions of a protein is to
determine its subcellular location. Although numerous prediction algorithms have been …

PSI: a comprehensive and integrative approach for accurate plant subcellular localization prediction

L Liu, Z Zhang, Q Mei, M Chen - PLoS One, 2013 - journals.plos.org
Predicting the subcellular localization of proteins conquers the major drawbacks of high-
throughput localization experiments that are costly and time-consuming. However, current …

Protein subcellular localization prediction using multiple kernel learning based support vector machine

MAM Hasan, S Ahmad, MKI Molla - Molecular BioSystems, 2017 - pubs.rsc.org
Predicting the subcellular locations of proteins can provide useful hints that reveal their
functions, increase our understanding of the mechanisms of some diseases, and finally aid …

Systematic identification of anti-fungal drug targets by a metabolic network approach

M Kaltdorf, M Srivastava, SK Gupta, C Liang… - Frontiers in Molecular …, 2016 - frontiersin.org
New antimycotic drugs are challenging to find, as potential target proteins may have close
human orthologs. We here focus on identifying metabolic targets that are critical for fungal …

A comprehensive investigation of protein expression profiles in L. monocytogenes exposed to thermal abuse, mild acid, and salt stress conditions

F D'Onofrio, M Schirone, I Krasteva, M Tittarelli… - Frontiers in …, 2023 - frontiersin.org
Preventing L. monocytogenes infection is crucial for food safety, considering its widespread
presence in the environment and its association with contaminated RTE foods. The …

Might exogenous circular RNAs act as protein-coding transcripts in plants?

J Marquez-Molins, JA Navarro, LC Seco, V Pallas… - RNA biology, 2021 - Taylor & Francis
Circular RNAs (circRNAs) are regulatory molecules involved in the modulation of gene
expression. Although originally assumed as non-coding RNAs, recent studies have …