Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Predicting Molecular Geometry

Predicting Molecular Geometry

VSEPR Theory for Determination of Electron Pair Geometries

Olfaction

Olfaction

The sense of smell is achieved through the activities of the olfactory system. It starts when an airborne odorant enters the nasal cavity and reaches olfactory epithelium (OE). The OE is protected by a thin layer of mucus, which also serves the purpose of dissolving more complex compounds into simpler chemical odorants. The size of the OE and the density of sensory neurons varies among species; in humans, the OE is only about 9-10 cm2.
The olfactory receptors are embedded in the cilia of the...

Predicting Reaction Outcomes

Predicting Reaction Outcomes

Kinetics describes the rate and path by which a reaction occurs. In contrast, thermodynamics deals with state functions and describes the properties, behavior, and components of a system. It is not concerned with the path taken by the process and cannot address the rate at which a reaction occurs. Although it does provide information about what can happen during a reaction process, it does not describe the detailed steps of what appears on an atomic or a molecular level. On the other hand,...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

1,2-Diimino-9,10-anthraquinone-semiquinonate Anion and 1-Aminyl-2-amino-9,10-anthraquinone π-Radical Complexes of Ruthenium and Osmium: An Account of Electronic Structures.

Inorganic chemistry·2026

Same author

A Fully In Silico Protocol to Understand Olfactory Receptor-Odorant Interactions.

ACS omega·2025

Same author

Deep Learning for Odor Prediction on Aroma-Chemical Blends.

ACS omega·2025

Same author

Correction: A topological path to the formation of a quasi-planar B<sub>70</sub> boron cluster and its dianion.

Physical chemistry chemical physics : PCCP·2024

Same author

DMSO promoted catalyst-free oxidative C-N/C-O couplings towards synthesis of imidazoles and oxazoles.

Organic & biomolecular chemistry·2024

Same author

Coligands Controlled Reactivities of Ruthenium(II) Precursors: Antiferromagnetically Coupled Ruthenium(III)-Phenoxyl versus Ruthenium(II)-Phenoxyl Forms.

Inorganic chemistry·2023

Search research articles

Related Experiment Video

Updated: May 9, 2025

Controlled Odor Mimic Permeation Systems for Olfactory Training and Field Testing

Controlled Odor Mimic Permeation Systems for Olfactory Training and Field Testing

Published on: January 28, 2021

Navigating the Fragrance Space Using Graph Generative Models and Predicting Odors.

Mrityunjay Sharma^1,2,3, Sarabeshwar Balaji⁴, Pinaki Saha⁵

¹CSIR - Central Scientific Instruments Organisation, Sector 30-C, Chandigarh 160030, India.

Journal of Chemical Information and Modeling

|May 6, 2025

Summary

This study introduces generative models for creating novel molecules with predictable odor characteristics, achieving high accuracy in odor prediction and labeling. The research aims to accelerate fragrance discovery and olfactory research by providing accessible tools and models.

More Related Videos

High-resolution Measurement of Odor-Driven Behavior in Drosophila Larvae

High-resolution Measurement of Odor-Driven Behavior in Drosophila Larvae

Published on: January 3, 2008

A Free-breathing fMRI Method to Study Human Olfactory Function

A Free-breathing fMRI Method to Study Human Olfactory Function

Published on: July 30, 2017

Related Experiment Videos

Last Updated: May 9, 2025

Controlled Odor Mimic Permeation Systems for Olfactory Training and Field Testing

Controlled Odor Mimic Permeation Systems for Olfactory Training and Field Testing

Published on: January 28, 2021

High-resolution Measurement of Odor-Driven Behavior in Drosophila Larvae

High-resolution Measurement of Odor-Driven Behavior in Drosophila Larvae

Published on: January 3, 2008

A Free-breathing fMRI Method to Study Human Olfactory Function

A Free-breathing fMRI Method to Study Human Olfactory Function

Published on: July 30, 2017

Area of Science:

Computational chemistry
Machine learning
Cheminformatics

Background:

Traditional methods for odor exploration are limited.
Generative models offer a novel approach to chemical space navigation.

Purpose of the Study:

To develop and apply generative modeling for efficient odor prediction and molecule generation.
To correlate molecular features with odor likeliness and ensure model interpretability.

Main Methods:

Utilized generative modeling for molecule synthesis.
Implemented machine learning for odor prediction (ROC AUC 0.97) and labeling.
Employed SHAP for interpretability of odor-likeness correlations with physicochemical properties.

Main Results:

Successfully generated molecules with predicted odor profiles.
Achieved high accuracy in odor likeliness prediction (ROC AUC 0.97).
Established correlations between molecular features and odor characteristics.

Conclusions:

Generative models provide an efficient framework for exploring chemical space and predicting odor.
The developed methods and open-access resources can advance fragrance discovery and olfactory research.