AIMC Topic: Plant Proteins

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Plant-based egg washes for use in baked goods: Machine learning and visual parameter analysis.

Journal of food science Sep 27, 2024
Pea protein is one potential environmentally sustainable way of recreating the functionality of eggs in coatings for baked goods. These coatings are commonly applied to enhance visual properties of baked goods that consumers desire, especially color ...
Random Forest Hydrogen-Ion Concentration Color Eggs Glycerol Pattern Recognition, Visual Pisum sativum Plant Proteins Cooking Neural Networks, Computer Machine Learning Time Factors Principal Component Analysis
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Fusion of convolutional neural network with XGBoost feature extraction for predicting multi-constituents in corn using near infrared spectroscopy.

Food chemistry Aug 31, 2024
Near-infrared (NIR) spectroscopy has been widely utilized to predict multi-constituents of corn in agriculture. However, directly extracting constituent information from the NIR spectra is challenging due to many issues such as broad absorption band,...
Zea mays Starch Plant Proteins Neural Networks, Computer Spectroscopy, Near-Infrared
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Using AlphaFold Multimer to discover interkingdom protein-protein interactions.

The Plant journal : for cell and molecular biology Aug 17, 2024
Structural prediction by artificial intelligence can be powerful new instruments to discover novel protein-protein interactions, but the community still grapples with the implementation, opportunities and limitations. Here, we discuss and re-analyse ...
Protein Interaction Mapping Sequence Alignment Artificial Intelligence Plant Proteins
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Utilizing machine learning and bioinformatics analysis to identify drought-responsive genes affecting yield in foxtail millet.

International journal of biological macromolecules Jul 29, 2024
Drought stress is a major constraint on crop development, potentially causing huge yield losses and threatening global food security. Improving Crop's stress tolerance is usually associated with a yield penalty. One way to balance yield and stress to...
Droughts Genes, Plant Stress, Physiological Gene Expression Regulation, Plant Computational Biology Setaria Plant Haplotypes Plant Proteins Gene Expression Profiling Transcriptome Machine Learning
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Estimation of wheat protein content and wet gluten content based on fusion of hyperspectral and RGB sensors using machine learning algorithms.

Food chemistry Mar 22, 2024
The protein content (PC) and wet gluten content (WGC) are crucial indicators determining the quality of wheat, playing a pivotal role in evaluating processing and baking performance. Original reflectance (OR), wavelet feature (WF), and color index (C...
Machine Learning Algorithms Triticum Plant Proteins Glutens
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ASPTF: A computational tool to predict abiotic stress-responsive transcription factors in plants by employing machine learning algorithms.

Biochimica et biophysica acta. General subjects Mar 14, 2024
BACKGROUND: Abiotic stresses pose serious threat to the growth and yield of crop plants. Several studies suggest that in plants, transcription factors (TFs) are important regulators of gene expression, especially when it comes to coping with abiotic ...
Gene Expression Regulation, Plant Computational Biology Machine Learning Plant Proteins Algorithms Plants Transcription Factors Stress, Physiological
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Deep learning-based characterization and redesign of major potato tuber storage protein.

Food chemistry Jan 23, 2024
Potato is one of the most important crops worldwide, to feed a fast-growing population. In addition to providing energy, fiber, vitamins, and minerals, potato storage proteins are considered as one of the most valuable sources of non-animal proteins ...
Plant Tubers Solanum tuberosum Plant Proteins Deep Learning Carbohydrates
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AlphaFold-Multimer predicts cross-kingdom interactions at the plant-pathogen interface.

Nature communications Sep 27, 2023
Adapted plant pathogens from various microbial kingdoms produce hundreds of unrelated small secreted proteins (SSPs) with elusive roles. Here, we used AlphaFold-Multimer (AFM) to screen 1879 SSPs of seven tomato pathogens for interacting with six def...
Artificial Intelligence Endopeptidases Plant Proteins Solanum lycopersicum Plant Diseases Peptide Hydrolases
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Accurate plant pathogen effector protein classification ab initio with deepredeff: an ensemble of convolutional neural networks.

BMC bioinformatics Jul 17, 2021
BACKGROUND: Plant pathogens cause billions of dollars of crop loss every year and are a major threat to global food security. Effector proteins are the tools such pathogens use to infect the cell, predicting effectors de novo from sequence is difficu...
Software Neural Networks, Computer Plant Proteins
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Predicting functions of maize proteins using graph convolutional network.

BMC bioinformatics Dec 16, 2020
BACKGROUND: Maize (Zea mays ssp. mays L.) is the most widely grown and yield crop in the world, as well as an important model organism for fundamental research of the function of genes. The functions of Maize proteins are annotated using the Gene Ont...
Plant Proteins Area Under Curve Molecular Sequence Annotation Humans Gene Ontology Zea mays Neural Networks, Computer
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