Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Molecular Models02:00

Molecular Models

Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
Molecules with Multiple Chiral Centers02:25

Molecules with Multiple Chiral Centers

Molecules that possess multiple chiral centers can afford a large number of stereoisomers. For instance, while some molecules like 2-butanol have one chiral center, defined as a tetrahedral carbon atom with four different substituents attached, several molecules like butane-2,3-diol have multiple chiral centers. A simple formula to predict the number of stereoisomers possible for a molecule with n chiral centers is 2n. However, there can be a lower number where some of the stereoisomers are...
Molecular Orbital Theory I02:35

Molecular Orbital Theory I

Overview of Molecular Orbital Theory
Molecular Shapes01:18

Molecular Shapes

Molecules have characteristic shapes that are crucial for their function. The arrangement of various electron groups around the central atom dictates their molecular geometry. Electron pairs in the valence shell of a central atom will adopt an arrangement that minimizes repulsions between the electron pairs by maximizing the distance between them. The valence electrons form either bonding pairs, located primarily between bonded atoms, or lone pairs.
Two regions of electron density in a diatomic...
π Electron Effects on Chemical Shift: Overview01:27

π Electron Effects on Chemical Shift: Overview

An applied magnetic field causes loosely bound π-electrons in organic molecules to circulate, producing a local or induced diamagnetic field over a large spatial volume. As the molecules tumble in solution, the field generated by π-electrons in spherical substituents results in a zero net field. However, the net field generated by π-electrons in non-spherical substituents is not zero. The effect of this induced field depends on the orientation of the molecule with respect to B0, resulting in...
Predicting Molecular Geometry02:27

Predicting Molecular Geometry

VSEPR Theory for Determination of Electron Pair Geometries

You might also read

Related Articles

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

Sort by
Same author

PegaPlus─Interactive Machine Learning by Human Observation for Efficient Clustering and Analysis of Structure-Activity Data.

Journal of chemical information and modeling·2026
Same author

Enabling Automatic Generation of Protein-Ligand Complex Data Sets with Atomistic Detail.

Journal of chemical information and modeling·2026
Same author

Guiding Similarity Search in Chemical Fragment Spaces with Weighted Fingerprints.

Journal of chemical information and modeling·2026
Same author

ActivityFinder: Toward the Fully Automatic Integration of Structural and Binding Affinity Data.

Journal of chemical information and modeling·2026
Same author

A bottom-up approach to find lead compounds in expansive chemical spaces.

Communications chemistry·2025
Same author

Correction: SAVI Space-combinatorial encoding of the billion-size synthetically accessible virtual inventory.

Scientific data·2025

Related Experiment Video

Updated: May 8, 2026

Hand Controlled Manipulation of Single Molecules via a Scanning Probe Microscope with a 3D Virtual Reality Interface
11:00

Hand Controlled Manipulation of Single Molecules via a Scanning Probe Microscope with a 3D Virtual Reality Interface

Published on: October 2, 2016

MONA - Interactive manipulation of molecule collections.

Matthias Hilbig1, Sascha Urbaczek, Inken Groth

  • 1Center for Bioinformatics (ZBH), University of Hamburg, Bundesstrasse 43, 20146 Hamburg, Germany. rarey@zbh.uni-hamburg.de.

Journal of Cheminformatics
|August 30, 2013
PubMed
Summary
This summary is machine-generated.

MONA is an interactive tool for processing small-molecule datasets, enabling chemists to analyze and filter compounds efficiently. It combines database interactivity with pipelining simplicity for intuition-driven cheminformatics workflows.

More Related Videos

Three-Dimensional Mapping of the Rotation of Interactive Virtual Objects with Eye-Tracking Data
06:36

Three-Dimensional Mapping of the Rotation of Interactive Virtual Objects with Eye-Tracking Data

Published on: October 18, 2024

Modeling an Enzyme Active Site using Molecular Visualization Freeware
14:37

Modeling an Enzyme Active Site using Molecular Visualization Freeware

Published on: December 25, 2021

Related Experiment Videos

Last Updated: May 8, 2026

Hand Controlled Manipulation of Single Molecules via a Scanning Probe Microscope with a 3D Virtual Reality Interface
11:00

Hand Controlled Manipulation of Single Molecules via a Scanning Probe Microscope with a 3D Virtual Reality Interface

Published on: October 2, 2016

Three-Dimensional Mapping of the Rotation of Interactive Virtual Objects with Eye-Tracking Data
06:36

Three-Dimensional Mapping of the Rotation of Interactive Virtual Objects with Eye-Tracking Data

Published on: October 18, 2024

Modeling an Enzyme Active Site using Molecular Visualization Freeware
14:37

Modeling an Enzyme Active Site using Molecular Visualization Freeware

Published on: December 25, 2021

Area of Science:

  • Cheminformatics
  • Computational Chemistry
  • Drug Discovery

Background:

  • Cheminformaticians and chemists routinely analyze small-molecule datasets for applications like vendor catalog comparison and screening campaign candidate compilation.
  • Existing pipelining tools facilitate workflow creation but lack interactive intervention capabilities, hindering adaptive analysis when optimal workflows are unknown.
  • The need exists for tools supporting intuition-driven processing of compound collections, allowing expert knowledge integration during analysis.

Purpose of the Study:

  • To develop MONA, an interactive tool for preparing and visualizing large small-molecule datasets.
  • To enable chemists to perform common cheminformatics tasks interactively with visual support.
  • To bridge the gap between interactive molecule database systems and simple pipelining tools for flexible cheminformatics workflows.

Main Methods:

  • Development of MONA, an interactive cheminformatics tool utilizing an SQL database.
  • Implementation of common cheminformatics tasks including duplicate checking and physico-chemical property filtering.
  • Design of a simple, intuitive user interface for immediate use without setup.

Main Results:

  • MONA provides interactive analysis and filtering of small-molecule datasets with visual aids.
  • The tool supports intuition-driven processing, allowing chemists to apply expert knowledge case-by-case.
  • MONA integrates the interactivity of database systems with the ease of pipelining tools.

Conclusions:

  • MONA facilitates efficient and flexible preparation and visualization of small-molecule datasets.
  • The tool empowers chemists to adapt workflows based on intermediate results and expert judgment.
  • MONA is available free of charge for academic use, promoting its adoption in research.