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Pseudoreceptor model for ryanodine derivatives at calcium release channels
1Heinrich-Heine-Universität Düsseldorf, Institute for Pharmaceutical Chemistry, Germany. kjs@pharm.uni-duesseldorf.de
Journal of Computer-Aided Molecular Design
|July 15, 2000
Summary
A pseudoreceptor model for ryanodine receptor (RyR) modulators was developed using molecular modeling. Key interactions involve hydrogen bonding and hydrophobic contacts, accurately predicting binding energies for ryanoid derivatives.
Area of Science:
- Pharmacology
- Molecular Biology
- Computational Chemistry
Background:
- Ryanodine receptors (RyRs) are critical calcium channels in muscle.
- Understanding RyR modulators (ryanoids) is vital for treating muscle disorders.
- Existing models lack detailed binding site information for ryanoids.
Purpose of the Study:
- To generate a pseudoreceptor model for ryanodine receptor (RyR) modulating ryanoids.
- To correlate experimental binding energies with calculated values for ryanoid derivatives.
- To elucidate key molecular interactions governing ryanoid binding to RyRs.
Main Methods:
- Application of the PrGen molecular modeling software.
- Correlation of experimentally determined and calculated free energies of binding.
- Analysis of 15 ryanodine derivatives to build the binding site model.
Main Results:
- Identified a narrow cleft with hydrogen bond donors/acceptors (Asn) crucial for C3 pyrrole carboxylate binding.
- Discovered hydrophobic residues (Tyr, Phe, Ile) flanking the pyrrole ring and interacting with the 2-isopropyl moiety.
- Revealed a second hydrophobic region (Leu) restricting ligand orientation and discriminating C9 substituents.
- Observed strong hydrogen bonding and electrostatic interactions with glutamate at C10 and C15 hydroxyl groups.
- Achieved high correlation (R=0.99, Q2=0.975) and low prediction error (rms=0.568 kcal/mol).
Conclusions:
- The developed pseudoreceptor model accurately predicts ryanoid binding energies.
- Key amino acid residues and their interactions within the RyR binding site were identified.
- The model provides insights into the putative topology of the real ryanoid binding site.
- This work facilitates the design of novel RyR modulators with improved efficacy and specificity.