AIMC Topic: Receptors, Odorant

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Insight into the Relationships Between Chemical, Protein and Functional Variables in the PBP/GOBP Family in Moths Based on Machine Learning.

International journal of molecular sciences Mar 5, 2025
During their lives, insects must cope with a plethora of chemicals, of which a few will have an impact at the behavioral level. To detect these chemicals, insects use several protein families located in their main olfactory organs, the antennae. Insi...
Insect Proteins Moths Receptors, Odorant Algorithms Animals Carrier Proteins Machine Learning
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Computational approaches for decoding structure-saltiness enhancement and aroma perception mechanisms of odorants: From machine learning to molecular simulation.

Food research international (Ottawa, Ont.) Jan 7, 2025
The unclear relationship between structure and saltiness enhancement limits the development and application of savory odorants. The structure characteristic-saltiness enhancement perception (SEP) mechanisms of savory odorants were investigated by mac...
Humans Hydrophobic and Hydrophilic Interactions Sodium Chloride Smell Machine Learning Molecular Docking Simulation Odorants Hydrogen Bonding Mutagenesis, Site-Directed Receptors, Odorant
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An overview on olfaction in the biological, analytical, computational, and machine learning fields.

Archiv der Pharmazie Oct 22, 2024
Recently, the comprehension of odor perception has advanced, unveiling the mysteries of the molecular receptors within the nasal passages and the intricate mechanisms governing signal transmission between these receptors, the olfactory bulb, and the ...
Odorants Humans Machine Learning Olfactory Perception Smell Animals Receptors, Odorant Olfactory Bulb
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Machine Learning Assisted Approach for Finding Novel High Activity Agonists of Human Ectopic Olfactory Receptors.

International journal of molecular sciences Oct 26, 2021
Olfactory receptors (ORs) constitute the largest superfamily of G protein-coupled receptors (GPCRs). ORs are involved in sensing odorants as well as in other ectopic roles in non-nasal tissues. Matching of an enormous number of the olfactory stimulat...
Ligands HEK293 Cells Receptors, Odorant Support Vector Machine Bayes Theorem Drug Evaluation, Preclinical Drug Discovery In Vitro Techniques User-Computer Interface Humans Machine Learning Female Male Molecular Docking Simulation Drug Design
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Agonists of G-Protein-Coupled Odorant Receptors Are Predicted from Chemical Features.

The journal of physical chemistry letters Apr 17, 2018
Predicting the activity of chemicals for a given odorant receptor is a longstanding challenge. Here the activity of 258 chemicals on the human G-protein-coupled odorant receptor (OR)51E1, also known as prostate-specific G-protein-coupled receptor 2 (...
Humans Machine Learning Animals Protein Binding Mice Receptors, G-Protein-Coupled Fatty Acids Neoplasm Proteins Ligands Models, Molecular Receptors, Odorant Drug Evaluation, Preclinical
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Classifying continuous, real-time e-nose sensor data using a bio-inspired spiking network modelled on the insect olfactory system.

Bioinspiration & biomimetics Feb 18, 2016
In many application domains, conventional e-noses are frequently outperformed in both speed and accuracy by their biological counterparts. Exploring potential bio-inspired improvements, we note a number of neuronal network models have demonstrated so...
Electronic Nose Receptors, Odorant Neural Networks, Computer Computer Systems Computer Simulation Models, Neurological Animals Equipment Design Smell Nerve Net Equipment Failure Analysis Signal Processing, Computer-Assisted Biomimetics Insecta
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Computational modelling of olfactory receptors.

Biochimica et biophysica acta. General subjects Jul 1, 2025
Olfactory receptors (ORs), the largest subfamily of G protein-coupled receptors, are essential for detecting and interpreting environmental odorants in animals. Understanding their function is crucial for deciphering olfactory perception and explorin...
Molecular Docking Simulation Molecular Dynamics Simulation Ligands Humans Receptors, Odorant Machine Learning Animals
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Combining Machine Learning and Electrophysiology for Insect Odorant Receptor Studies.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2025
Insects rely on olfaction in many aspects of their life, and odorant receptors are key proteins in this process. Whereas a plethora of insect odorant receptor sequences is available, most of them are still orphan or uncompletely characterized, since ...
Electrophysiology Receptors, Odorant Insecta Quantitative Structure-Activity Relationship Insect Proteins Machine Learning Animals Ligands
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Numerical Models and In Vitro Assays to Study Odorant Receptors.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2018
Unraveling the sense of smell relies on understanding how odorant receptors recognize odorant molecules. Given the vastness of the odorant chemical space and the complexity of the odorant receptor space, computational methods are in line to propose r...
Humans Molecular Docking Simulation Machine Learning Mutation Computer Simulation Receptors, Odorant Animals
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Improving odorant chemical class prediction with multi-layer perceptrons using temporal odorant spike responses from drosophila melanogaster olfactory receptor neurons.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
In this work, we examine the possibility of improving the prediction performance of an olfactory biosensor through the use of temporal spiking data. We present an Artificial Neural Network (ANN), in the form of an optimal hybrid Multi-Layer Perceptro...
Animals Time Factors Action Potentials Neural Networks, Computer Receptors, Odorant Odorants Olfactory Receptor Neurons Smell Drosophila melanogaster
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