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Correspondence analysis applied to steroid receptor binding.

J C Doré, J Gilbert, T Ojasoo

    Journal of Medicinal Chemistry
    |January 1, 1986
    PubMed
    Summary
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    This study used correspondence analysis to map steroid binding affinities to four hormone receptors. Most steroids showed affinity for androgen and progestin receptors, with limited binding to glucocorticoid and mineralocorticoid receptors.

    Area of Science:

    • Endocrinology
    • Computational Chemistry
    • Pharmacology

    Background:

    • Steroid hormones play crucial roles in various physiological processes.
    • Understanding steroid-receptor interactions is key to developing targeted therapies.
    • Previous analyses of steroid binding affinities were often based on limited data or intuitive interpretations.

    Purpose of the Study:

    • To analyze the relative binding affinities of 48 steroids for progestin (PR), androgen (AR), glucocorticoid (GR), and mineralocorticoid (MR) receptors.
    • To visualize and interpret these interactions using correspondence analysis.
    • To identify structural features of steroids that influence receptor specificity and affinity.

    Main Methods:

    • Correspondence analysis was applied to binding affinity data for 48 steroids across four hormone receptors.

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  • Steroids included nortestosterone derivatives with variations in unsaturation, 17 alpha-ethynyl group, and C-13 alkyl substituent.
  • Norprogesterone derivatives served as reference compounds.

    • Main Results:

    • Distribution maps revealed that most steroids preferentially bound to androgen (AR) and progestin (PR) receptors.
    • Limited affinity was observed for glucocorticoid (GR) and mineralocorticoid (MR) receptors for the majority of tested steroids.
    • Increased unsaturation and a C-13 ethyl group were associated with reduced specificity and enhanced GR/MR affinity.

    Conclusions:

    • Correspondence analysis provides a comprehensive method for processing complex screening data involving multiple parameters.
    • The findings confirm and extend previous interpretations of steroid-receptor interactions.
    • This methodology allows for simultaneous representation of receptor and steroid fields, offering novel insights into structure-activity relationships.