Computational Modeling of Small Molecule Ligand Binding Interactions and Affinities.
Understanding and controlling biological phenomena via structure-based drug screening efforts often critically rely on accurate description of protein-ligand interactions. However, most of the currently available computational techniques are affected by severe deficiencies in both protein and ligand conformational sampling as well as in the scoring of the obtained docking solutions. To overcome these limitations, we have recently developed MedusaDock, a novel docking methodology, which simultaneously models ligand and receptor flexibility. Coupled with MedusaScore, a physical force field-based scoring function that accounts for the protein-ligand interaction energy, MedusaDock, has reported the highest success rate in the CSAR 2011 exercise. Here, we present a standard computational protocol to evaluate the binding properties of the two enantiomers of the non-selective β-blocker propanolol in the β2 adrenergic receptor's binding site. We describe details of our protocol, which have been successfully applied to several other targets.
Department of Biochemistry and Biophysics, University of North Carolina, 120 Mason Farm Road, 27599, Chapel Hill, NC, USA.
Marino
M
Convertino
Department of Biochemistry and Biophysics, University of North Carolina, 120 Mason Farm Road, 27599, Chapel Hill, NC, USA. dokh@unc.edu.
Nikolay V
NV
Dokholyan
D003198:Computer Simulation; D008024:Ligands; D011485:Protein Binding
D008024:Ligands
Chiron; Flexible docking; Gaia; Induced Fit; MedusaDock; MedusaScore; Protein structure refinement; Protein–ligand interactions