Results 11 to 20 of about 662,616 (328)
Background: With the increase in the number of genome sequencing projects, there is a concomitant exponential growth in the number of protein sequences whose function is still unknown.
MONTI, MARIA +3 more
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Proteomics is a branch of molecular biology that deals with the identification and quantification of proteins in living objects, as well as the analysis of protein functions and their interactions. Proteomics is studied by proteins that are expressed
S. Dolomatov, V. Kazakova, W. Zukow
doaj +3 more sources
Proteomics for prediction of disease progression and response to therapy in diabetic kidney disease [PDF]
The past decade has resulted in multiple new findings of potential proteomic biomarkers of diabetic kidney disease (DKD). Many of these biomarkers reflect an important role in the (patho)physiology and biological processes of DKD.
Heerspink, Hiddo J.L. +2 more
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Background Our previous study demonstrated that aldolase A (ALDOA) is overexpressed in clinical human lung squamous cell carcinoma and that ALDOA promotes epithelial–mesenchymal transition and tumorigenesis.
Hailu Fu +9 more
doaj +1 more source
Applied Proteomics in ‘One Health’
‘One Health’ summarises the idea that human health and animal health are interdependent and bound to the health of ecosystems. The purpose of proteomics methodologies and studies is to determine proteins present in samples of interest and to quantify ...
Eleni I. Katsarou +5 more
doaj +1 more source
Chemical cross-linking in combination with mass spectrometric analysis offers the potential to obtain low-resolution structural information from proteins and protein complexes. Identification of peptides connected by a cross-link provides direct evidence
Aebersold, R. +6 more
core +3 more sources
Urinary proteomics using capillary electrophoresis coupled to mass spectrometry for diagnosis and prognosis in kidney diseases [PDF]
Purpose of review: Urine is the most useful of body fluids for biomarker research. Therefore, we have focused on urinary proteomics, using capillary electrophoresis coupled to mass spectrometry, to investigate kidney diseases in recent years.
Magalhães, Pedro +2 more
core +1 more source
AlphaPeptDeep: a modular deep learning framework to predict peptide properties for proteomics
Deep learning (DL) has been frequently used in mass spectrometry-based proteomics but there is still a lot of potential. Here, the authors develop a framework that enables building DL models to predict arbitrary peptide properties with only a few lines ...
Wen-Feng Zeng +8 more
doaj +1 more source

