AIMC Topic: Plant Proteins
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Antioxidant bioactivity of sunflower protein hydrolysates in Caco-2 cells and in silico structural properties.
Food chemistry
Sep 30, 2025
Sunflower protein hydrolysate (SPH), with 95 % reduced phenolic content, was studied for its protective effects against oxidative stress in intestinal cells (Caco-2). Produced via alcalase hydrolysis, SPH's molecular weight, amino acid composition, a...
Why Protein Modifications Matter for Digestibility: The Case of Ara h 1 Peanut Allergen and Trypsin Cleavage.
Journal of agricultural and food chemistry
Aug 20, 2025
Trypsin is the principal intestinal endopeptidase and proteomics digestion tool, yet the impact of protein modifications (PMs) on digestibility and allergenicity remains underexplored. We employed a proteomic approach to assess trypsin cleavage effic...
Virtual Hydrolysis-Based Screening of Wheat-Derived DPP-IV Inhibitory Peptides: A Mechanistic Analysis Integrating Cell Experiments and Molecular Dynamics Simulations.
Journal of agricultural and food chemistry
Aug 6, 2025
Dipeptidyl peptidase-IV (DPP-IV) inhibitors play a critical role in the treatment of diabetes and metabolic diseases. This study combines computational simulations with experimental validation to identify peptides with potential DPP-IV inhibitory act...
Structure and function of Vitis vinifera Arabidopsis Response Regulator 1 (VvARR1) protein provide insights into the regulatory mechanism of grape fruit shape through gibberellin-cytokinin crosstalk.
International journal of biological macromolecules
Aug 1, 2025
Grape fruit shape is a crucial agricultural trait that significantly impacts the commercial value of grapes. In this study, we developed a machine learning system to classify grape fruit shapes, offering an objective phenotypic assessment method. Mul...
Next generation technologies for protein structure determination: challenges and breakthroughs in plant biology applications.
Journal of plant physiology
Jul 1, 2025
Advancements in structural biology have significantly deepened our understanding of plant proteins, which are central to critical biological functions such as photosynthesis, metabolism, signal transduction, and structural architechture. Gaining insi...
Lightweight deep learning model for embedded systems efficiently predicts oil and protein content in rapeseed.
Food chemistry
Jun 15, 2025
Conventional methods for determining protein and oil content in rapeseed are often time-consuming, labor-intensive, and costly. In this study, a mobile application was developed using an optimized deep learning method for low-cost, non-destructive an...
A review of innovative extraction technologies for protein recovery from plant-based by-products: A step toward zero-waste processing.
International journal of biological macromolecules
Jun 1, 2025
The increasing global emphasis on sustainability in food production has heightened interest in valorizing plant-based by-products, including oilseed meals, fruit pomace, cereal bran, and legume hulls. Although these residues contain valuable proteins...
Model-to-crop conserved NUE Regulons enhance machine learning predictions of nitrogen use efficiency.
The Plant cell
May 9, 2025
Systems biology aims to uncover gene regulatory networks (GRNs) for agricultural traits, but validating them in crops is challenging. We addressed this challenge by learning and validating model-to-crop transcription factor (TF) regulons governing ni...
PLM-DBPs: enhancing plant DNA-binding protein prediction by integrating sequence-based and structure-aware protein language models.
Briefings in bioinformatics
May 1, 2025
DNA-binding proteins (DBPs) play a crucial role in gene regulation, development, and environmental responses across plants, animals, and microorganisms. Existing DBP prediction methods are largely limited to sequence information, whether through hand...
HNCGAT: a method for predicting plant metabolite-protein interaction using heterogeneous neighbor contrastive graph attention network.
Briefings in bioinformatics
Jul 25, 2024
The prediction of metabolite-protein interactions (MPIs) plays an important role in plant basic life functions. Compared with the traditional experimental methods and the high-throughput genomics methods using statistical correlation, applying hetero...
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