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

Quantitative structure-activity relationships of phenolic compounds causing apoptosis.

Corwin Hansch1, Benjamin Bonavida, Ali R Jazirehi

  • 1Department of Chemistry, Pomona College, 645N. College Ave., CA 91711, Claremont, USA.

Bioorganic & Medicinal Chemistry
|January 23, 2003
PubMed
Summary

This study developed a quantitative structure-activity relationship (QSAR) model to predict the apoptotic activity of phenolic compounds against leukemia cells. The model highlights key molecular properties for designing novel anti-cancer agents.

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

Prognostic and therapeutic significance of RKIP and YY1 in cancer, autoimmune disorders, and inflammatory pathologies.

Biochimica et biophysica acta. Reviews on cancer·2026
Same author

The Role of Raf Kinase Inhibitor Protein (RKIP) in HER2+ Breast Cancer Immune Evasion.

Cells·2026
Same author

Research Article: The Dysregulated YY1-Bcl-2-c-Myc Axis in Non-Hodgkin Lymphoma: Validation by Bioinformatic Analyses.

Critical reviews in oncogenesis·2026
Same author

Review Article: EZH2 in Pancreatic Cancer: Epigenetic Driver and Therapeutic Target.

Critical reviews in oncogenesis·2026
Same author

TGF-β-YY1 signaling as a key driver of immune evasion in pancreatic cancer: Therapeutic implications.

Cytokine & growth factor reviews·2026
Same author

The implied dysregulated RKIP-hypoxia axis in cancer and immune evasion: Clinical implications.

Drug resistance updates : reviews and commentaries in antimicrobial and anticancer chemotherapy·2025

Area of Science:

  • Medicinal Chemistry
  • Pharmacology
  • Computational Toxicology

Background:

  • Phenolic compounds exhibit diverse biological activities.
  • Apoptosis induction is a key mechanism in cancer therapy.
  • Understanding structure-activity relationships is crucial for drug development.

Purpose of the Study:

  • To develop a Quantitative Structure-Activity Relationship (QSAR) model for predicting the apoptosis-inducing activity of phenolic compounds.
  • To identify key physicochemical properties influencing the anti-leukemic effects of these compounds.
  • To guide the design of novel anti-cancer therapeutic agents.

Main Methods:

  • Investigated a series of phenolic compounds including simple phenols, estradiol, bisphenol A, and diethylstilbesterol.

Related Experiment Videos

  • Assessed the apoptosis-inducing concentration (C) in L1210 leukemia cells.
  • Developed a QSAR model using calculated octanol/water partition coefficient (Clog P) and calculated molecular refractivity (CMR).

    • Main Results:

    • A statistically significant QSAR model was formulated: log 1/C = -3.16 Clog P + 2.77 CMR - 3.76.
    • The model demonstrated high predictive power with r² = 0.939 and q² = 0.892.
    • Both Clog P and CMR were identified as significant descriptors for apoptotic activity.

    Conclusions:

    • The QSAR model provides valuable insights into the structural requirements for apoptosis induction by phenolic compounds.
    • Characterization of phenolic compounds with apoptotic activity is significant for developing new cancer therapies.
    • The findings support the potential of rationally designed phenolic derivatives as anti-leukemic agents.