A5053819400- Metabolomics and Mass Spectrometry Studies
- Mass Spectrometry Techniques and Applications
- Advanced Proteomics Techniques and Applications
- Isotope Analysis in Ecology
- Analytical Chemistry and Chromatography
- Gene expression and cancer classification
- Machine Learning and Data Classification
- Microbial Metabolic Engineering and Bioproduction
- Brain Tumor Detection and Classification
- Face and Expression Recognition
- Bioinformatics and Genomic Networks
- Computational Drug Discovery Methods
- AI in cancer detection
- Machine Learning in Bioinformatics
- EEG and Brain-Computer Interfaces
- Phytochemicals and Antioxidant Activities
- Image Retrieval and Classification Techniques
- RNA and protein synthesis mechanisms
- Neural Networks and Applications
- Protein Structure and Dynamics
- Fermentation and Sensory Analysis
- Genomics and Rare Diseases
- Ion-surface interactions and analysis
- Blind Source Separation Techniques
- Multiple Sclerosis Research Studies
Hasselt University
2016-2025
Peking University
2023
Government of Uttar Pradesh
2023
Medical University of Białystok
2023
University of Antwerp
2012-2021
Flemish Institute for Technological Research
2011-2020
VIB-UAntwerp Center for Molecular Neurology
2011-2016
KU Leuven
2008-2011
Abstract Obesity and type 2 diabetes are prevalent chronic diseases effectively managed by semaglutide. Here we studied the effects of semaglutide on circulating proteome using baseline end-of-treatment serum samples from two phase 3 trials in participants with overweight or obesity, without diabetes: STEP 1 ( n = 1,311) 645). We identified evidence supporting broad semaglutide, implicating processes related to body weight regulation, glycemic control, lipid metabolism inflammatory pathways....
Combining liquid chromatography-mass spectrometry (LC-MS)-based metabolomics experiments that were collected over a long period of time remains problematic due to systematic variability between LC-MS measurements. Until now, most normalization methods for data are model-driven, based on internal standards or intermediate quality control runs, where an external model is extrapolated the dataset interest. In first part this article, we evaluate several existing data-driven approaches...
Abstract To understand the growth response to drought, we performed a proteomics study in leaf zone of maize ( Zea mays L.) seedlings and functionally characterized role starch biosynthesis regulation growth, photosynthesis antioxidant capacity, using shrunken‐2 mutant sh2 ), defective ADP‐glucose pyrophosphorylase. Drought altered abundance 284 proteins overrepresented for photosynthesis, amino acid, sugar metabolism, redox‐regulation. Changes protein levels correlated with enzyme...
Top-down approaches for the characterization of intact proteins and macromolecular complexes are becoming increasingly popular, since they potentially simplify speed up assignment process. Here we demonstrate how, on a commercially available Q-TWIMS-TOF instrument, performed top-down ETD native form tetrameric alcohol dehydrogenase. We achieved good sequence coverage throughout first 81 N-terminal amino acids ADH, with exception loop located inside protein. This is in agreement exposed parts...
Evoked potentials (EPs) are a measure of the conductivity central nervous system. They used to monitor disease progression multiple sclerosis patients. Previous studies only extracted few variables from EPs, which often further condensed into single variable: EP score. We perform machine learning analysis motor that uses whole time series, instead variables, predict disability after two years. Obtaining realistic performance estimates this task has been difficult because small data set...
Nuclear magnetic resonance spectroscopy (NMR) is a powerful technique to reveal and compare quantitative metabolic profiles of biological tissues. However, chemical physical sample variations make the analysis data challenging, typically require application number preprocessing steps prior interpretation. For example, noise reduction, normalization, baseline correction, peak picking, spectrum alignment statistical are indispensable components in any NMR pipeline. We introduce novel suite...
To characterise a biorelevant simulated lung fluid (SLF) based on the composition of human respiratory tract lining fluid. SLF was compared to other media which have been utilized as simulants in terms structure, biocompatibility and performance inhalation biopharmaceutical assays. The structure investigated using cryo-transmission electron microscopy, photon correlation spectroscopy Langmuir isotherms. Biocompatibility with A549 alveolar epithelial cells determined by MTT assay,...
Abstract Feature attribution maps are a popular approach to highlight the most important pixels in an image for given prediction of model. Despite recent growth popularity and available methods, objective evaluation such remains open problem. Building on previous work this domain, we investigate existing quality metrics propose new variants maps. We confirm finding that different seem measure underlying properties maps, extend larger selection metrics, datasets. also find metric results one...
<title>Abstract</title> <bold>Background</bold> Polygenic risk scores (PRSs) are widely used to assess genetic predisposition, but genotyping arrays typically target non-coding variants with limited functional annotation. In contrast, whole-exome sequencing (WES) maps protein-coding regions, providing insights that can enrich PRS interpretation and support novel computational frameworks infer individual predisposition. <bold>Results</bold> We evaluated WES for polygenic modeling using common...