D‐Peptide and D‐Protein Technology: Recent Advances, Challenges, and Opportunities **
Sign Up to like & getrecommendations! Published in 2022 at "ChemBioChem"
DOI: 10.1002/cbic.202200537
Abstract: Total chemical protein synthesis provides access to entire D‐protein enantiomers enabling unique applications in molecular biology, structural biology, and bioactive compound discovery. Key enzymes involved in the central dogma of molecular biology have been prepared… read more here.
Keywords: challenges opportunities; peptide protein; technology recent; protein technology ... See more keywords
Peptide-protein interactions within human hair keratins.
Sign Up to like & getrecommendations! Published in 2017 at "International journal of biological macromolecules"
DOI: 10.1016/j.ijbiomac.2017.03.052
Abstract: We selected 1235 decapeptides from human hair proteins encoded by human genes of keratins and keratin associated proteins. The peptides were linked to glass arrays and screened for their affinity towards a solution of human… read more here.
Keywords: hair keratins; peptide protein; protein interactions; human hair ... See more keywords
Peptide-protein based nanofibers in pharmaceutical and biomedical applications.
Sign Up to like & getrecommendations! Published in 2020 at "International journal of biological macromolecules"
DOI: 10.1016/j.ijbiomac.2019.12.275
Abstract: In recent years, electrospun fibers have found wide use, especially in pharmaceutical area and biomedical applications, related to the various advantages such as high surface-volume ratio, high solubility and having wide usage areas they have… read more here.
Keywords: based nanofibers; peptide protein; pharmaceutical biomedical; protein based ... See more keywords
Species specificity of rat and human α7 nicotinic acetylcholine receptors towards different classes of peptide and protein antagonists
Sign Up to like & getrecommendations! Published in 2018 at "Neuropharmacology"
DOI: 10.1016/j.neuropharm.2018.07.019
Abstract: ABSTRACT Peptide and protein neurotoxins, such as &agr;‐conotoxins from Cone snails and &agr;‐neurotoxins from snake venoms, are excellent tools to identify distinct nicotinic acetylcholine receptor (nAChR) subtypes. Here we compared the rat/human species specificity of… read more here.
Keywords: k11a txib; peptide protein; txib h5d; species specificity ... See more keywords
Thermoresponsive polymer-peptide/protein conjugates
Sign Up to like & getrecommendations! Published in 2017 at "Progress in Polymer Science"
DOI: 10.1016/j.progpolymsci.2016.12.004
Abstract: Abstract This review is focused on recent achievements in the covalent attachment of biological entities, such as oligopeptides, proteins and enzymes, to thermoresponsive synthetic polymers and the influence of conjugation on the properties of macromolecules.… read more here.
Keywords: thermoresponsive polymer; peptide protein; protein conjugates; polymer peptide ... See more keywords
Recent trends in peptide and protein-based hydrogels.
Sign Up to like & getrecommendations! Published in 2020 at "Current opinion in structural biology"
DOI: 10.1016/j.sbi.2020.04.007
Abstract: Hydrogels are classic examples of biomaterials that have found its niche in biomedical and allied fields. Here, we describe examples of peptide-based and protein-based hydrogels with a focus on smart gels that respond to various… read more here.
Keywords: based hydrogels; peptide protein; protein based; trends peptide ... See more keywords
Sustained Release Systems for Delivery of Therapeutic Peptide/Protein.
Sign Up to like & getrecommendations! Published in 2021 at "Biomacromolecules"
DOI: 10.1021/acs.biomac.1c00160
Abstract: Peptide/protein therapeutics have been significantly applied in the clinical treatment of various diseases such as cancer, diabetes, etc. owing to their high biocompatibility, specificity, and therapeutic efficacy. However, due to their immunogenicity, instability stemming from… read more here.
Keywords: protein; peptide protein; release systems; sustained release ... See more keywords
An Integrated Machine Learning Model To Spot Peptide Binding Pockets in 3D Protein Screening
Sign Up to like & getrecommendations! Published in 2022 at "Journal of chemical information and modeling"
DOI: 10.1021/acs.jcim.2c00583
Abstract: The prediction of peptide-protein binding sites is of utmost importance to tackle the onset of severe neurodegenerative diseases and cancer. In this work, we detail a novel machine learning model based on Linear Discriminant Analysis… read more here.
Keywords: learning model; peptide binding; machine learning; pockets protein ... See more keywords
Designing Peptide and Protein Modified Hydrogels: Selecting the Optimal Conjugation Strategy.
Sign Up to like & getrecommendations! Published in 2017 at "Journal of the American Chemical Society"
DOI: 10.1021/jacs.7b00513
Abstract: Hydrogels are used in a wide variety of biomedical applications including tissue engineering, biomolecule delivery, cell delivery, and cell culture. These hydrogels are often designed with a specific biological function in mind, requiring the chemical… read more here.
Keywords: protein; protein modified; peptide protein; modified hydrogels ... See more keywords
A deep-learning framework for multi-level peptide–protein interaction prediction
Sign Up to like & getrecommendations! Published in 2021 at "Nature Communications"
DOI: 10.1038/s41467-021-25772-4
Abstract: Peptide-protein interactions are involved in various fundamental cellular functions and their identification is crucial for designing efficacious peptide therapeutics. Recently, a number of computational methods have been developed to predict peptide-protein interactions. However, most of… read more here.
Keywords: protein interaction; peptide protein; deep learning; interaction prediction ... See more keywords
Harnessing protein folding neural networks for peptide–protein docking
Sign Up to like & getrecommendations! Published in 2022 at "Nature Communications"
DOI: 10.1038/s41467-021-27838-9
Abstract: Highly accurate protein structure predictions by deep neural networks such as AlphaFold2 and RoseTTAFold have tremendous impact on structural biology and beyond. Here, we show that, although these deep learning approaches have originally been developed… read more here.
Keywords: protein folding; neural networks; peptide protein; folding neural ... See more keywords