AIMC Topic: Binding, Competitive

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An Integrated Approach toward NanoBRET Tracers for Analysis of GPCR Ligand Engagement.

Molecules (Basel, Switzerland) May 12, 2021
Gaining insight into the pharmacology of ligand engagement with G-protein coupled receptors (GPCRs) under biologically relevant conditions is vital to both drug discovery and basic research. NanoLuc-based bioluminescence resonance energy transfer (Na...
Molecular Docking Simulation Drug Discovery Protein Binding Humans Machine Learning Luminescent Agents Binding, Competitive Bioluminescence Resonance Energy Transfer Techniques Transfection Ligands HEK293 Cells Receptors, G-Protein-Coupled Luciferases
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Single and competitive dye adsorption onto chitosan-based hybrid hydrogels using artificial neural network modeling.

Journal of colloid and interface science Oct 29, 2019
Chitosan-based hybrid hydrogels such as chitosan hydrogel (CH), chitosan hydrogel with activated carbon (CH-AC), scaffold-chitosan hydrogel (SCH), scaffold-chitosan hydrogel with activated carbon (SCH-AC) and scaffold-chitosan hydrogel with carbon na...
Azo Compounds Nanotubes, Carbon Benzenesulfonates Charcoal Coloring Agents Hydrogels Binding, Competitive Neural Networks, Computer Adsorption Chitosan
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CiRCus: A Framework to Enable Classification of Complex High-Throughput Experiments.

Journal of proteome research Mar 22, 2019
Despite the increasing use of high-throughput experiments in molecular biology, methods for evaluating and classifying the acquired results have not kept pace, requiring significant manual efforts to do so. Here, we present CiRCus, a framework to gen...
Databases, Protein High-Throughput Screening Assays Binding, Competitive Protein Binding Proteomics Proteins Software Algorithms Machine Learning
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iSEE: Interface structure, evolution, and energy-based machine learning predictor of binding affinity changes upon mutations.

Proteins Dec 3, 2018
Quantitative evaluation of binding affinity changes upon mutations is crucial for protein engineering and drug design. Machine learning-based methods are gaining increasing momentum in this field. Due to the limited number of experimental data, using...
Machine Learning Protein Domains Tumor Suppressor Protein p53 Thermodynamics Proteins Binding, Competitive Protein Binding Models, Molecular Computational Biology Proto-Oncogene Proteins c-mdm2 Mutation Evolution, Molecular
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Persistent spectral hypergraph based machine learning (PSH-ML) for protein-ligand binding affinity prediction.

Briefings in bioinformatics Sep 2, 2021
Molecular descriptors are essential to not only quantitative structure activity/property relationship (QSAR/QSPR) models, but also machine learning based chemical and biological data analysis. In this paper, we propose persistent spectral hypergraph ...
Computational Biology Proteins Databases, Protein Humans Ligands Drug Design Models, Molecular Machine Learning Quantitative Structure-Activity Relationship Drug Discovery Molecular Structure Algorithms Binding, Competitive Protein Binding Pharmaceutical Preparations
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A deep boosting based approach for capturing the sequence binding preferences of RNA-binding proteins from high-throughput CLIP-seq data.

Nucleic acids research Aug 21, 2017
Characterizing the binding behaviors of RNA-binding proteins (RBPs) is important for understanding their functional roles in gene expression regulation. However, current high-throughput experimental methods for identifying RBP targets, such as CLIP-s...
Base Sequence Binding Sites Nucleotide Motifs Binding, Competitive 3' Untranslated Regions Internet Reproducibility of Results High-Throughput Nucleotide Sequencing Protein Binding Gene Expression Regulation RNA-Binding Proteins Computational Biology Humans Mutation Machine Learning Algorithms
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[Immunochromatographic Test System for the Detection of T-2 Toxin].

Prikladnaia biokhimiia i mikrobiologiia Jan 1, 2015
An immunochromatographic test system was developed for the detection of T-2 toxin (T2T), which is one of priority contaminants of cereals. The detection is based on the competition between T2T in the sample and the T2T-protein conjugate immobilized o...
Immunoconjugates Binding, Competitive T-2 Toxin Methanol Edible Grain Food Contamination Fusarium Antibodies, Monoclonal Gold Metal Nanoparticles Limit of Detection Animals Zea mays Chromatography, Affinity Reagent Strips Protein Binding Mice
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