AIMC Topic: Fish Proteins
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In-depth discovery and taste presentation mechanism studies on umami peptides derived from fermented sea bass based on peptidomics and machine learning.
Food chemistry
Mar 16, 2024
Umami peptides originating from fermented sea bass impart a distinctive flavor to food. Nevertheless, large-scale and rapid screening for umami peptides using conventional techniques is challenging because of problems such as prolonged duration and c...
Exposure to nitrate induces alterations in blood parameter responses, liver immunity, and lipid metabolism in juvenile turbot (Scophthalmus maximus).
Aquatic toxicology (Amsterdam, Netherlands)
Aug 24, 2022
Nitrate (NO) pollution of waterbodies has attracted significant global attention as it poses a serious threat to aquatic organisms and human beings. This study aimed to evaluate the role of NO, an end product of biological nitrification processes, in...
Alanine Transaminase
Aspartate Aminotransferases
Immunoglobulin M
Liver
Complement C3
Flatfishes
Fish Proteins
Humans
Lipid Metabolism
Complement C4
Peroxisome Proliferator-Activated Receptors
Heat-Shock Proteins
Tumor Necrosis Factor-alpha
Liver X Receptors
Carnitine O-Palmitoyltransferase
Nitrates
Animals
Muramidase
Sterol Regulatory Element Binding Protein 1
RNA, Messenger
Water Pollutants, Chemical
Real-time monitoring the color changes of large yellow croaker (Larimichthys crocea) fillets based on hyperspectral imaging empowered with artificial intelligence.
Food chemistry
Feb 5, 2022
Vis-NIR hyperspectral imaging (HSI) system combined with artificial neural networks was investigated for the first time to monitor color changes of large yellow croaker (Larimichthys crocea) fillets during low-temperature storage. Feed-forward neural...
Bingham deep neural and oppositional fish swarm optimized protein structure prediction.
Journal of biomolecular structure & dynamics
May 6, 2021
It is familiar that essential proteins take part in managing cellular activities in living organisms. Moreover, protein structure prediction from its amino acid sequence is advantageous to the comprehending of cellular functions. Formerly, several es...
A novel method based on infrared spectroscopic inception-resnet networks for the detection of the major fish allergen parvalbumin.
Food chemistry
Sep 6, 2020
We have developed a novel approach that involves inception-resnet network (IRN) modeling based on infrared spectroscopy (IR) for rapid and specific detection of the fish allergen parvalbumin. SDS-PAGE and ELISA were used to validate the new method. T...
Mice
Enzyme-Linked Immunosorbent Assay
Support Vector Machine
Food Analysis
Neural Networks, Computer
Reproducibility of Results
Animals
Parvalbumins
Fish Proteins
Mice, Inbred BALB C
Electrophoresis, Polyacrylamide Gel
Food Hypersensitivity
Spectrophotometry, Infrared
Fishes
Fish Products
Allergens
AFP-LSE: Antifreeze Proteins Prediction Using Latent Space Encoding of Composition of k-Spaced Amino Acid Pairs.
Scientific reports
Apr 28, 2020
Species living in extremely cold environments resist the freezing conditions through antifreeze proteins (AFPs). Apart from being essential proteins for various organisms living in sub-zero temperatures, AFPs have numerous applications in different i...
Demographic, Clinical, and Allergic Characteristics of Children with Eosinophilic Esophagitis in Isfahan, Iran.
Iranian journal of allergy, asthma, and immunology
Dec 3, 2018
Eosinophilic esophagitis (EoE) is a chronic immune-mediated disease isolated to the esophagus Food allergy is thought to play an important role in the pathophysiology of EOE. The aim of this study is to evaluate demographic features and sensitivity o...
Leptin Stimulates Prolactin mRNA Expression in the Goldfish Pituitary through a Combination of the PI3K/Akt/mTOR, MKK/pMAPK and MEK/ERK Signalling Pathways.
International journal of molecular sciences
Dec 20, 2017
Leptin actions at the pituitary level have been extensively investigated in mammalian species, but remain insufficiently characterized in lower vertebrates, especially in teleost fish. Prolactin (PRL) is a pituitary hormone of central importance to o...
Effect of abiotic and biotic stress factors analysis using machine learning methods in zebrafish.
Comparative biochemistry and physiology. Part D, Genomics & proteomics
Nov 11, 2017
In order to understand the mechanisms underlying stress responses, meta-analysis of transcriptome is made to identify differentially expressed genes (DEGs) and their biological, molecular and cellular mechanisms in response to stressors. The present ...
Resistance gene identification from Larimichthys crocea with machine learning techniques.
Scientific reports
Dec 6, 2016
The research on resistance genes (R-gene) plays a vital role in bioinformatics as it has the capability of coping with adverse changes in the external environment, which can form the corresponding resistance protein by transcription and translation. ...
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