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

Inductive electronegativity scale. Iterative calculation of inductive partial charges.

Artem Cherkasov1

  • 1Division of Infectious Diseases, Faculty of Medicine, University of British Columbia, 2733, Heather Street, Vancouver, British Columbia, V5Z 3J5, Canada. artc@interchange.ubc.ca

Journal of Chemical Information and Computer Sciences
|November 25, 2003
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

Deep docking, part 2: an amplified DDU platform for ultra-large virtual screening.

Chemical science·2026
Same author

The Use of DeepQSAR Models for the Discovery of Peptides With Enhanced Antimicrobial and Antibiofilm Potential.

Molecular informatics·2026
Same author

Retraction of "The Use of DeepQSAR Models for The Discovery of Peptides with Enhanced Antimicrobial and Antibiofilm Potential".

Journal of chemical information and modeling·2026
Same author

Pharmacokinetics, pathology and efficacy of SARS-CoV-2 main protease inhibitor VPC285785 in a murine model of coronavirus infection.

Scientific reports·2026
Same author

CACHE Challenge #3: Targeting the Nsp3 Macrodomain of SARS-CoV-2.

Journal of chemical information and modeling·2026
Same author

Design of Highly Potent Antibiofilm, Antimicrobial Peptides Using Explainable Artificial Intelligence.

Journal of chemical information and modeling·2025
Same journal

Future Papers.

Journal of chemical information and computer sciences·2016
Same journal

Future Papers.

Journal of chemical information and computer sciences·2016
Same journal

Future Papers.

Journal of chemical information and computer sciences·2016
Same journal

Future Papers.

Journal of chemical information and computer sciences·2016
Same journal

Future Papers.

Journal of chemical information and computer sciences·2016
Same journal

Future Papers.

Journal of chemical information and computer sciences·2016
See all related articles

Novel quantitative structure-activity relationship (QSAR) descriptors based on steric and inductive effects were developed. These 3D descriptors offer insights into molecular interactions, aiding structure-activity studies and chemical rule validation.

Area of Science:

  • Computational Chemistry
  • Medicinal Chemistry
  • Quantitative Structure-Activity Relationship (QSAR) studies

Background:

  • Traditional QSAR models often rely on steric and inductive substituent constants.
  • A need exists for advanced descriptors that capture complex intramolecular electronic and steric interactions.

Purpose of the Study:

  • To introduce novel 3D quantitative structure-activity relationship (QSAR) descriptors based on steric and inductive effects.
  • To provide a deeper understanding of intramolecular electronic interactions.
  • To validate the utility of these descriptors in structure-activity relationship (SAR) studies.

Main Methods:

  • Development of novel "inductive" parameters including electronegativity, atomic partial charges, and chemical hardness/softness.

Related Experiment Videos

  • Utilizing a physical interpretation of molecules as electrical capacitors.
  • Implementation of a full electronegativity equalization scheme for iterative charge calculations.
  • Computation of inductive descriptors for diverse organic compounds.
  • Main Results:

    • Novel 3D QSAR descriptors for steric and inductive effects were successfully developed.
    • Calculated inductive partial charges were validated against experimental C-1s Electron Core Binding Energies and molecular dipole moments.
    • The approach facilitated the illustration of chemical rules like electronegativity equalization and the principle of maximum hardness.

    Conclusions:

    • The novel inductive descriptors offer valuable insights into intramolecular steric and electronic interactions.
    • These descriptors have broad applicability in quantitative structure-activity relationship (QSAR) studies.
    • The developed approach provides a robust framework for understanding and applying fundamental chemical principles in molecular modeling.