Computational studies of the binding site of alpha1A-adrenoceptor antagonists

J Mol Model. 2008 Oct;14(10):957-66. doi: 10.1007/s00894-008-0342-8. Epub 2008 Jul 15.

Abstract

Aimed at achieving a good understanding of the 3-dimensional structures of human alpha1A-adrenoceptor (alpha1A-AR), we have successfully developed its homology model based on the crystal structure of beta2-AR. Subsequent structural refinements were performed to mimic the receptor's natural membrane environment by using molecular mechanics (MM) and molecular dynamics (MD) simulations in the GBSW implicit membrane model. Through molecular docking and further simulations, possible binding modes of subtype-selective alpha1A-AR antagonists, Silodosin, RWJ-69736 and (+)SNAP-7915, were examined. Results of the modeling and docking studies are qualitatively consistent with available experimental data from mutagenesis studies. The homology model built should be very useful for designing more potent subtype-selective alpha1A-AR antagonists and for guiding further mutagenesis studies.

Publication types

  • Research Support, Non-U.S. Gov't
  • Validation Study

MeSH terms

  • Adrenergic alpha-1 Receptor Antagonists*
  • Adrenergic alpha-Antagonists / chemistry*
  • Amino Acid Sequence
  • Binding Sites
  • Humans
  • Indoles / chemistry
  • Models, Molecular
  • Molecular Sequence Data
  • Piperazines / chemistry
  • Protein Conformation
  • Pyridones / chemistry
  • Receptors, Adrenergic, alpha-1 / chemistry
  • Receptors, Adrenergic, beta-2 / chemistry
  • Sequence Alignment
  • Sequence Homology, Amino Acid

Substances

  • Adrenergic alpha-1 Receptor Antagonists
  • Adrenergic alpha-Antagonists
  • Indoles
  • Piperazines
  • Pyridones
  • RWJ 69736
  • Receptors, Adrenergic, alpha-1
  • Receptors, Adrenergic, beta-2
  • silodosin