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Mapping functional group free energy patterns at protein occluded sites: nuclear receptors and G-protein coupled receptors.


ABSTRACT: Occluded ligand-binding pockets (LBP) such as those found in nuclear receptors (NR) and G-protein coupled receptors (GPCR) represent a significant opportunity and challenge for computer-aided drug design. To determine free energies maps of functional groups of these LBPs, a Grand-Canonical Monte Carlo/Molecular Dynamics (GCMC/MD) strategy is combined with the Site Identification by Ligand Competitive Saturation (SILCS) methodology. SILCS-GCMC/MD is shown to map functional group affinity patterns that recapitulate locations of functional groups across diverse classes of ligands in the LBPs of the androgen (AR) and peroxisome proliferator-activated-? (PPAR?) NRs and the metabotropic glutamate (mGluR) and ?2-adreneric (?2AR) GPCRs. Inclusion of protein flexibility identifies regions of the binding pockets not accessible in crystal conformations and allows for better quantitative estimates of relative ligand binding affinities in all the proteins tested. Differences in functional group requirements of the active and inactive states of the ?2AR LBP were used in virtual screening to identify high efficacy agonists targeting ?2AR in Airway Smooth Muscle (ASM) cells. Seven of the 15 selected ligands were found to effect ASM relaxation representing a 46% hit rate. Hence, the method will be of use for the rational design of ligands in the context of chemical biology and the development of therapeutic agents.

SUBMITTER: Lakkaraju SK 

PROVIDER: S-EPMC4372819 | biostudies-literature | 2015 Mar

REPOSITORIES: biostudies-literature

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Mapping functional group free energy patterns at protein occluded sites: nuclear receptors and G-protein coupled receptors.

Lakkaraju Sirish Kaushik SK   Yu Wenbo W   Raman E Prabhu EP   Hershfeld Alena V AV   Fang Lei L   Deshpande Deepak A DA   MacKerell Alexander D AD  

Journal of chemical information and modeling 20150225 3


Occluded ligand-binding pockets (LBP) such as those found in nuclear receptors (NR) and G-protein coupled receptors (GPCR) represent a significant opportunity and challenge for computer-aided drug design. To determine free energies maps of functional groups of these LBPs, a Grand-Canonical Monte Carlo/Molecular Dynamics (GCMC/MD) strategy is combined with the Site Identification by Ligand Competitive Saturation (SILCS) methodology. SILCS-GCMC/MD is shown to map functional group affinity patterns  ...[more]

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