AIMC Topic: Plant Proteins
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Application of Ultrasound-Ultrafiltration-Assisted alkaline isoelectric precipitation (UUAAIP) technique for producing alfalfa protein isolate for human consumption: Optimization, comparison, physicochemical, and functional properties.
Food research international (Ottawa, Ont.)
Dec 17, 2019
A new Ultrasound-Ultrafiltration-Assisted Alkaline Isoelectric Precipitation (UUAAIP) technique was employed for producing alfalfa protein isolate from alfalfa leaves. A five-factor-three-level Box-Behnken Design (BBD) was used to optimize the UUAAIP...
Nutritional and technological properties of a quinoa (Chenopodium quinoa Willd.) spray-dried powdered extract.
Food research international (Ottawa, Ont.)
Dec 7, 2019
The relevance of an appropriate nutrition requires innovation in the design of food ingredients. The goal of this work was to obtain a powdered extract of quinoa by using spray-drying. To this aim, quinoa flour was suspended in water to obtain a solu...
Differential gene expression and gene ontologies associated with increasing water-stress in leaf and root transcriptomes of perennial ryegrass (Lolium perenne).
PloS one
Jul 30, 2019
Perennial ryegrass (Lolium perenne) is a forage and amenity grass species widely cultivated in temperate regions worldwide. As such, perennial ryegrass populations are exposed to a range of environmental conditions and stresses on a seasonal basis an...
Fuzzy controller based E-nose classification of Sitophilus oryzae infestation in stored rice grain.
Food chemistry
Jan 19, 2019
Fuzzy controller artmap based algorithms via E-nose selective metal oxides sensor (MOS) data was applied for classification of S. oryzae infestation in rice grains. The screened defuzzified data of selective sensors was further applied to detect S. o...
Identification and characterization of antioxidative peptides derived from simulated in vitro gastrointestinal digestion of walnut meal proteins.
Food research international (Ottawa, Ont.)
Aug 23, 2018
The aim of this study was to isolate and identify antioxidant peptides from defatted walnut meal proteins hydrolysates (DWMPH) prepared by simulated gastrointestinal digestion, and to evaluate the protective effect of the selected antioxidant peptide...
ApoplastP: prediction of effectors and plant proteins in the apoplast using machine learning.
The New phytologist
Dec 15, 2017
The plant apoplast is integral to intercellular signalling, transport and plant-pathogen interactions. Plant pathogens deliver effectors both into the apoplast and inside host cells, but no computational method currently exists to discriminate betwee...
Rama: a machine learning approach for ribosomal protein prediction in plants.
Scientific reports
Nov 24, 2017
Ribosomal proteins (RPs) play a fundamental role within all type of cells, as they are major components of ribosomes, which are essential for translation of mRNAs. Furthermore, these proteins are involved in various physiological and pathological pro...
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 ...
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...
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...
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