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Tunable recognition of the steroid α-face by adjacent π-electron density

  • T. Friščić*
  • , R. W. Lancaster
  • , L. Fábián
  • , P. G. Karamertzanis
  • *Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Abstract

We report a previously unknown recognition motif between the α-face of the steroid hydrocarbon backbone and π-electron-rich aromatic substrates. Our study is based on a systematic and comparative analysis of the solid-state complexation of four steroids with 24 aromatic molecules. By using the solid state as a medium for complexation, we circumvent solubility and solvent competition problems that are inherent to the liquid phase. Characterization is performed using powder and single crystal X-ray diffraction, infrared solid-state spectroscopy and is complemented by a comprehensive cocrystal structure prediction methodology that surpasses earlier computational approaches in terms of realism and complexity. Our combined experimental and theoretical approach reveals that the α⋯π stacking is of electrostatic origin and is highly dependent on the steroid backbone's unsaturated and conjugated character. We demonstrate that the α⋯π stacking interaction can drive the assembly of molecules, in particular progesterone, into solid-state complexes without the need for additional strong interactions. It results in a marked difference in the solid-state complexation propensities of different steroids with aromatic molecules, suggesting a strong dependence of the steroid-binding affinity and even physicochemical properties on the steroid's A-ring structure. Hence, the hydrocarbon part of the steroid is a potentially important variable in structure-activity relationships for establishing the binding and signaling properties of steroids, and in the manufacture of pharmaceutical cocrystals.

Original languageEnglish
Pages (from-to)13216-13221
Number of pages6
JournalProceedings of the National Academy of Sciences of the United States of America
Volume107
Issue number30
DOIs
Publication statusPublished - 27 Jul 2010

Keywords

  • Crystal structure prediction
  • Mechanosynthesis
  • Molecular recognition
  • Steroids

ASJC Scopus subject areas

  • General

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