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Published in 2017 at "Methods in molecular biology"
DOI: 10.1007/978-1-4939-6536-6_13
Abstract: Chemotactic motility is an essential virulence factor for the pathogenesis of Campylobacter spp. infection. In Chapter 6 , we described technologies that enable initial screening and identification of ligands able to interact with chemoreceptor sensory…
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Keywords:
receptor interactions;
biofilm;
ligand receptor;
characterization ligand ... See more keywords
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Published in 2017 at "Methods in molecular biology"
DOI: 10.1007/978-1-4939-6854-1_9
Abstract: Ethylene receptors are predominantly localized to the endoplasmic reticulum (ER) membrane, and coordinate ethylene signal output through protein-protein interactions with each other and additional signaling components. Here, we describe a co-immunoprecipitation (Co-IP) assay based on…
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Keywords:
receptor interactions;
ethylene;
analysis ethylene;
ethylene receptors ... See more keywords
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Published in 2017 at "Journal of molecular biology"
DOI: 10.1016/j.jmb.2017.08.009
Abstract: Dysregulation of tumor necrosis factor (TNF) receptor signaling is a key feature of various inflammatory disorders. Current treatments for TNF-related diseases function either by sequestering ligand or blocking ligand-receptor interactions, which can cause dangerous side…
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Keywords:
receptor interactions;
death receptor;
apoptosis;
receptor ... See more keywords
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Published in 2018 at "European Journal of Medical Research"
DOI: 10.1186/s40001-017-0299-0
Abstract: BackgroundWound healing represents a dynamic process involving directional migration of different cell types. Chemokines, a family of chemoattractive proteins, have been suggested to be key players in cell-to-cell communication and essential for directed migration of…
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Keywords:
receptor interactions;
wound healing;
ligand receptor;
chemokine ligand ... See more keywords
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Published in 2021 at "International Journal of Molecular Sciences"
DOI: 10.3390/ijms22084060
Abstract: The large amount of data that has been collected so far for G protein-coupled receptors requires machine learning (ML) approaches to fully exploit its potential. Our previous ML model based on gradient boosting used for…
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Keywords:
receptor interactions;
machine learning;
drug;
ligand receptor ... See more keywords