AIMC Topic: Plant Proteins

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DRPPP: A machine learning based tool for prediction of disease resistance proteins in plants.

Computers in biology and medicine Sep 13, 2016
Plant disease outbreak is increasing rapidly around the globe and is a major cause for crop loss worldwide. Plants, in turn, have developed diverse defense mechanisms to identify and evade different pathogenic microorganisms. Early identification of ...
Plant Proteins Disease Resistance Models, Statistical Plants Computational Biology Support Vector Machine
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NBSPred: a support vector machine-based high-throughput pipeline for plant resistance protein NBSLRR prediction.

Bioinformatics (Oxford, England) Dec 9, 2015
UNLABELLED: The nucleotide binding site leucine-rich repeats (NBSLRRs) belong to one of the largest known families of disease resistance genes that encode resistance proteins (R-protein) against the pathogens of plants. Various defence mechanisms hav...
Solanum lycopersicum Plant Proteins Amino Acid Sequence Conserved Sequence Nucleotides Arabidopsis Plant Diseases Support Vector Machine
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DNA-binding protein prediction using plant specific support vector machines: validation and application of a new genome annotation tool.

Nucleic acids research Aug 24, 2015
There are currently 151 plants with draft genomes available but levels of functional annotation for putative protein products are low. Therefore, accurate computational predictions are essential to annotate genomes in the first instance, and to provi...
Plant Proteins Arabidopsis DNA-Binding Proteins Species Specificity Support Vector Machine Models, Biological Molecular Sequence Annotation Genome, Plant Solanum lycopersicum Sequence Analysis, Protein
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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...
Computer Simulation Oxidative Stress Antioxidants Humans Plant Proteins Protein Hydrolysates Caco-2 Cells Hydrophobic and Hydrophilic Interactions Helianthus Tandem Mass Spectrometry Molecular Weight
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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...
Protein Conformation Magnetic Resonance Spectroscopy Plant Proteins Crystallography, X-Ray Mass Spectrometry Cryoelectron Microscopy Plants
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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...
Plant Proteins Brassica napus Deep Learning Brassica rapa Rapeseed Oil Plant Oils
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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...
Plant Proteins Microwaves Waste Products Chemical Fractionation
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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...
Gene Expression Regulation, Plant Arabidopsis Crops, Agricultural Plant Proteins Regulon Machine Learning Gene Regulatory Networks Zea mays Nitrogen Transcription Factors
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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...
Plants Plant Proteins Computational Biology DNA-Binding Proteins Deep Learning
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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...
Algorithms Computational Biology Neural Networks, Computer Plant Proteins Arabidopsis
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