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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.
Ligand Binding Sites02:40

Ligand Binding Sites

Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...
Polymer Classification: Architecture01:14

Polymer Classification: Architecture

Polymers are classified as linear or branched on the basis of their chain architecture. The polymer chains in linear polymers have a long chain-like structure with minimal to no branching at all. Even if a polymer features large substituent groups on the monomer, which appear as branches to the skeleton, it is not considered a branched polymer. A branched polymer contains secondary polymer chains that arise from the main polymer chain. The branching occurs when the polymer growth shifts from...
Chemical Shift: Internal References and Solvent Effects01:17

Chemical Shift: Internal References and Solvent Effects

In an NMR sample, precise measurement of the absolute absorption frequencies of nuclei is difficult. A standard internal reference compound is added, and the frequency difference between the reference signal and sample signals is measured.
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Chemical and Solubility Equilibria02:21

Chemical and Solubility Equilibria

The free energy change associated with dissolving a solute in a liter of solvent is called the free energy of a solution, ΔGsolution. The overall ΔGsolution is expressed as the balance of ΔGinteraction against the always-favorable free-energy of mixing, ΔGmixing. Solution formation is favorable if  ΔGsolution is less than zero, whereas it is unfavorable if ΔGsolution is greater than zero. In short, for a solution to form and complete dissolution to take place, the Gibbs energy change must be...
Cycloalkanes02:28

Cycloalkanes

Cycloalkanes are saturated cyclic hydrocarbons with carbon atoms arranged in the form of rings. They have two fewer hydrogen atoms than the corresponding acyclic alkane; therefore, their general formula is CnH2n. The structural formulas of cycloalkanes are simplified using the line-angle representation. The regular polygons are used to represent the cycloalkane rings, with each side representing a carbon-carbon bond.
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Related Experiment Video

Updated: Jun 8, 2026

Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods
05:34

Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods

Published on: June 6, 2025

A searchable map of PubChem.

Ruud van Deursen1, Lorenz C Blum, Jean-Louis Reymond

  • 1Department of Chemistry and Biochemistry, University of Berne, Freiestrasse 3, CH-3012 Berne, Switzerland.

Journal of Chemical Information and Modeling
|October 16, 2010
PubMed
Summary

Researchers classified PubChem compounds using 42 molecular quantum numbers (MQNs). This molecular descriptor approach enables efficient similarity searching and virtual screening of chemical databases.

Area of Science:

  • Cheminformatics
  • Computational Chemistry
  • Drug Discovery

Background:

  • The PubChem database contains a vast number of chemical structures.
  • Efficient methods are needed to navigate and analyze large chemical datasets.
  • Molecular descriptors can represent complex structural information.

Purpose of the Study:

  • To classify PubChem compounds using a novel set of molecular descriptors.
  • To develop a method for measuring molecular similarity within PubChem.
  • To enable ligand-based virtual screening using these descriptors.

Main Methods:

  • Utilized 42 integer-valued molecular quantum numbers (MQNs) describing molecular structure.
  • Applied Principal Component Analysis (PCA) to the MQN data for dimensionality reduction.

Related Experiment Videos

Last Updated: Jun 8, 2026

Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods
05:34

Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods

Published on: June 6, 2025

  • Visualized the PubChem chemical space using PCA components (PC1, PC2, PC3).

    • Main Results:

    • PubChem compounds form a partially filled elliptical cone in the PCA space.
    • PC1 (65% variability) represents molecular size, PC2 (18%) structural flexibility, and PC3 (7%) polarity.
    • MQNs enable effective measurement of molecular similarity and virtual screening, demonstrated by DUD dataset enrichment.

    Conclusions:

    • Molecular quantum numbers provide a robust scalar fingerprint for chemical compounds.
    • This MQN-based approach facilitates efficient similarity searching and virtual screening of large databases like PubChem.
    • An MQN-annotated PubChem version with a similarity search tool is publicly available.