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

Correspondence factor analysis of steroid libraries

T Ojasoo1, J P Raynaud, J C Doré

  • 1Groupe Cristallographie et Simulations Interactives des Macromolécules Biologiques, Université Pierre et Marie Curie (VI), France.

Steroids
|June 1, 1995
PubMed
Summary

Correspondence Factor Analysis (CFA) objectively maps steroid-hormone receptor binding. This multivariate method reveals structure-activity relationships, even for large steroid libraries, confirming expert findings and detailing A-ring phenol binding specificities.

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

Protection of patients against violence in medical institutions and the need for general safeguarding measures.

European child & adolescent psychiatry·2022
Same author

[COVID 19: How does child psychiatry adapt in these times of adversity?]

Neuropsychiatrie de l'enfance et de l'adolescence·2020
Same author

[Early restrictive feeding disorders: Quantitative assessment of parent/infant feeding interactions].

L'Encephale·2016
Same author

Multivariate analysis of the correlation between noctuidae subfamilies and the chemical structure of their sex pheromones or male attractants.

Journal of chemical ecology·2013
Same author

The atomic scale structure of CXV carbon: wide-angle x-ray scattering and modeling studies.

Journal of physics. Condensed matter : an Institute of Physics journal·2013
Same author

Long-Term Outcomes of ADHD: A Systematic Review of Self-Esteem and Social Function.

Journal of attention disorders·2013

Area of Science:

  • Steroid chemistry
  • Molecular pharmacology
  • Chemometrics

Background:

  • Steroid hormones play crucial roles in various physiological processes.
  • Understanding steroid-hormone receptor interactions is key to drug development.
  • Existing methods for analyzing structure-activity relationships (SAR) can be complex and time-consuming.

Purpose of the Study:

  • To apply Correspondence Factor Analysis (CFA) for analyzing steroid-hormone receptor binding.
  • To demonstrate CFA's utility in deriving SAR from large steroid libraries.
  • To objectively validate existing knowledge on steroid functional group specificities.

Main Methods:

  • Analysis of 187 steroids binding to five steroid hormone receptors (estrogen, progestin, androgen, mineralocorticoid, glucocorticoid).

Related Experiment Videos

  • Application of Correspondence Factor Analysis (CFA), a multivariate statistical technique.
  • Utilizing barycenters (steroids with common structural fragments) as mathematical models within CFA.

    • Main Results:

    • CFA provided objective distribution maps of steroid-receptor binding data.
    • The method successfully reduced redundant information and noise.
    • Statistical analysis confirmed expert-derived conclusions on the specificity of steroid functional groups.
    • Detailed analysis of A-ring phenols revealed C-11 substitutions enhance glucocorticoid and progesterone receptor binding despite estrogen receptor-specific A-ring characteristics.

    Conclusions:

    • Correspondence Factor Analysis (CFA) is an effective tool for objective SAR analysis of complex chemical data.
    • CFA can derive and validate structure-activity relationships from large steroid libraries.
    • Specific structural modifications, like C-11 substitutions, can significantly alter steroid receptor binding profiles.