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 Experiment Videos

Basic overview of chemoinformatics.

Thomas Engel1

  • 1Chemical Computing Group AG, Kaiser-Wilhelm-Ring 11, 50672 Cologne, Germany. thengel@chemcomp.com

Journal of Chemical Information and Modeling
|November 28, 2006
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

The Impact and Description of a Training Program With a Novel Landmark Device for Needle Thoracostomy.

WMJ : official publication of the State Medical Society of Wisconsin·2026
Same author

Health and Medical Preparedness and Response to the 2024 Republican National Convention.

Prehospital emergency care·2026
Same author

Instrumented gait analysis post-anterior cruciate ligament reconstruction in pediatric patients: A non-invasive method for quantifying the static and dynamic leg axis.

Journal of experimental orthopaedics·2025
Same author

Addressing the Use of Mechanical Compression Devices in Traumatic Out-of-Hospital Circulatory Arrest.

Prehospital emergency care·2025
Same author

Digital Staining of White Blood Cells With Confidence Estimation.

IEEE transactions on medical imaging·2023
Same author

Multi-Task Multi-Domain Learning for Digital Staining and Classification of Leukocytes.

IEEE transactions on medical imaging·2020
Same journal

DeepDPM: A Deep Learning Method for MoRFs Prediction Based on Wavelet Transform and Dynamic Convolutional Attention Mechanism.

Journal of chemical information and modeling·2026
Same journal

Graph-Based Generation and Reduction of Complex Chemical Reaction Networks.

Journal of chemical information and modeling·2026
Same journal

Modeling the Sensitivity of Large-Scale Virtual Screening to Scoring Function Accuracy, Artifacts, and Library Composition.

Journal of chemical information and modeling·2026
Same journal

Machine Learning-Driven Discovery of Indole/Oxoindole-Piperazine Scaffolds as Dual MAO-B/Sig-1R Ligands for Neurodegenerative Disorders.

Journal of chemical information and modeling·2026
Same journal

Mapping Evolution of Molecules across Biochemistry with Assembly Theory.

Journal of chemical information and modeling·2026
Same journal

Structural Proteomics-Based Deciphering of Hydrophobic Packing Fingerprints Informing Protein Thermostability in TIM Barrels.

Journal of chemical information and modeling·2026
See all related articles

Chemoinformatics evolved gradually, developing computational methods to manage chemical data and link compound structure to properties. This review covers foundational chemoinformatics methods and applications.

Area of Science:

  • Chemoinformatics
  • Computational Chemistry
  • Chemical Information Science

Background:

  • Chemoinformatics emerged from the need to manage vast amounts of chemical data.
  • Early computational methods were developed by scientists across various chemistry disciplines.
  • The field saw significant activity starting in the 1970s after initial developments in the 1960s.

Purpose of the Study:

  • To provide an overview of fundamental chemoinformatics methods.
  • To highlight key applications and interconnecting points within chemoinformatics.
  • To acknowledge significant contributions to the field, such as those by Johann Gasteiger.

Main Methods:

  • Encoding chemical compounds for computational use.
  • Storing and searching chemical data within databases.

Related Experiment Videos

  • Generating and analyzing chemical data to uncover structure-property relationships.
  • Main Results:

    • Demonstration of basic chemoinformatics techniques.
    • Identification of core applications linking different areas of the field.
    • Overview of historical development and key milestones.

    Conclusions:

    • Chemoinformatics is a continuously evolving field with deep roots in computational chemistry.
    • Effective data management and analysis are central to understanding chemical structures and properties.
    • The field's progress is marked by foundational methods and significant contributions from pioneers like Johann Gasteiger.