AIMC Topic: Peptides
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Angiotensin Converting Enzyme Inhibitory and Antioxidant Activities of Enzymatic Hydrolysates of Korean Native Cattle (Hanwoo) Myofibrillar Protein.
BioMed research international
Dec 17, 2017
The purpose of this study was to determine the angiotensin converting enzyme (ACE) inhibitory and antioxidant activities of myofibrillar protein hydrolysates (HMPHs) of different molecular weights (<3 and <10 kDa) derived from Korean native cattle (H...
Cytoprotective Effects of Cell-Permeable Bifunctional Antioxidant Enzyme, GST-TAT-SOD, against Cisplatin-Induced Cell Damage.
Oxidative medicine and cellular longevity
Nov 30, 2017
GST-TAT-SOD, a cell-permeable bifunctional antioxidant enzyme, is a potential selective radioprotector. This study aimed to investigate the cytoprotective activity of GST-TAT-SOD against cisplatin-induced damage. The current study showed that cisplat...
Characterization and Identification of Cryptic Biopeptides in (Wangenh K. Koch) Storage Proteins.
BioMed research international
Nov 27, 2017
The objective of this research was to identify and characterize the encoded peptides present in nut storage proteins of . It was found, through in silico prediction, proteomic analysis, and MS spectrometry, that bioactive peptides were mainly found i...
A novel peptide/FeO@SiO-Au nanocomposite-based fluorescence biosensor for the highly selective and sensitive detection of prostate-specific antigen.
Talanta
Nov 21, 2017
Highly selective and sensitive detection methods are very important for the early diagnosis of prostate-specific antigen (PSA). Here, we present a novel peptide/FeO@SiO-Au nanocomposite-based fluorescence biosensor for highly selective and sensitive ...
Fluoresceins
Fluorescence Recovery After Photobleaching
Fluorescent Dyes
Prostate
Nanocomposites
Ferrosoferric Oxide
Humans
Limit of Detection
Reproducibility of Results
Biosensing Techniques
Prostate-Specific Antigen
Male
Protein Binding
Magnetite Nanoparticles
Peptides
Staining and Labeling
Silicon Dioxide
pDeep: Predicting MS/MS Spectra of Peptides with Deep Learning.
Analytical chemistry
Nov 21, 2017
In tandem mass spectrometry (MS/MS)-based proteomics, search engines rely on comparison between an experimental MS/MS spectrum and the theoretical spectra of the candidate peptides. Hence, accurate prediction of the theoretical spectra of peptides ap...
Purification and characterization of a protease from the visceral mass of Mytella charruana and its evaluation to obtain antimicrobial peptides.
Food chemistry
Nov 14, 2017
This work describes purification of a protease from the visceral mass of the mussel Mytella charruana as well as evaluation of its ability to hydrolyze milk casein to generate antimicrobial peptides. The enzyme showed pI of 4.1 and a single polypepti...
A novel aspartic protease from Rhizomucor miehei expressed in Pichia pastoris and its application on meat tenderization and preparation of turtle peptides.
Food chemistry
Oct 23, 2017
A novel aspartic protease gene (RmproA) was cloned from the thermophilic fungus Rhizomucor miehei CAU432 and expressed in Pichia pastoris. The RmproA was successfully expressed in P. pastoris as an active extracellular protease. High protease activit...
Machine Learning on Signal-to-Noise Ratios Improves Peptide Array Design in SAMDI Mass Spectrometry.
Analytical chemistry
Aug 7, 2017
Emerging peptide array technologies are able to profile molecular activities within cell lysates. However, the structural diversity of peptides leads to inherent differences in peptide signal-to-noise ratios (S/N). These complex effects can lead to p...
Prediction of lysine propionylation sites using biased SVM and incorporating four different sequence features into Chou's PseAAC.
Journal of molecular graphics & modelling
Jul 25, 2017
Lysine propionylation is an important and common protein acylation modification in both prokaryotes and eukaryotes. To better understand the molecular mechanism of propionylation, it is important to identify propionylated substrates and their corresp...
Machine learning-enabled discovery and design of membrane-active peptides.
Bioorganic & medicinal chemistry
Jul 8, 2017
Antimicrobial peptides are a class of membrane-active peptides that form a critical component of innate host immunity and possess a diversity of sequence and structure. Machine learning approaches have been profitably employed to efficiently screen s...
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