Subcellular location defines GPCR signal transduction. [PDF]
Sci Adv, 2023 G protein-coupled receptors in intracellular organelles can be activated in response to membrane permeant ligands, which contributes to the diversity and specificity of agonist action.
Radoux-Mergault A +4 more
europepmc +10 more sources
Predicting the subcellular location of prokaryotic proteins with DeepLocPro. [PDF]
BioinformaticsProtein subcellular location prediction is a widely explored task in bioinformatics because of its importance in proteomics research. We propose DeepLocPro, an extension to the popular method DeepLoc, tailored specifically to archaeal and bacterial ...
Moreno J +3 more
europepmc +9 more sources
Subcellular location prediction of apoptosis proteins using two novel feature extraction methods based on evolutionary information and LDA [PDF]
BMC Bioinformatics, 2020 Background Apoptosis, also called programmed cell death, refers to the spontaneous and orderly death of cells controlled by genes in order to maintain a stable internal environment.
Lei Du +3 more
doaj +3 more sources
Consistency and variation of protein subcellular location annotations. [PDF]
Proteins, 2021 A major challenge for protein databases is reconciling information from diverse sources. This is especially difficult when some information consists of secondary, human‐interpreted rather than primary data.
Xu YY, Zhou H, Murphy RF, Shen HB.
europepmc +5 more sources
SwissBioPics-an interactive library of cell images for the visualization of subcellular location data. [PDF]
Database (Oxford), 2022 SwissBioPics (www.swissbiopics.org) is a freely available resource of interactive, high-resolution cell images designed for the visualization of subcellular location data.
Le Mercier P +15 more
europepmc +2 more sources
Predicting subcellular location of protein with evolution information and sequence-based deep learning. [PDF]
BMC Bioinformatics, 2021 Protein subcellular localization prediction plays an important role in biology research. Since traditional methods are laborious and time-consuming, many machine learning-based prediction methods have been proposed.
Liao Z, Pan G, Sun C, Tang J.
europepmc +2 more sources
Prediction of apoptosis protein subcellular location based on amphiphilic pseudo amino acid composition [PDF]
Frontiers in Genetics, 2023 Introduction: Apoptosis proteins play an important role in the process of cell apoptosis, which makes the rate of cell proliferation and death reach a relative balance.
Wenxia Su +7 more
doaj +2 more sources
Leader gene identification for digestive system cancers based on human subcellular location and cancer-related characteristics in protein–protein interaction networks [PDF]
Frontiers in Genetics, 2022 Stomach, liver, and colon cancers are the most common digestive system cancers leading to mortality. Cancer leader genes were identified in the current study as the genes that contribute to tumor initiation and could shed light on the molecular ...
Hongwei Chen +10 more
doaj +2 more sources
Conformation and dynamics of the kinase domain drive subcellular location and activation of LRRK2. [PDF]
Proc Natl Acad Sci U S A, 2021 Significance To achieve a mechanistic understanding of LRRK2, a multidomain protein kinase, we must understand how the conformational landscape is changed by specific mutations that cause LRRK2 to become a driver of Parkinson’s disease (PD). To meet this
Schmidt SH +11 more
europepmc +2 more sources
PScL-HDeep: image-based prediction of protein subcellular location in human tissue using ensemble learning of handcrafted and deep learned features with two-layer feature selection. [PDF]
Brief Bioinform, 2021 Protein subcellular localization plays a crucial role in characterizing the function of proteins and understanding various cellular processes. Therefore, accurate identification of protein subcellular location is an important yet challenging task ...
Ullah M +5 more
europepmc +2 more sources