Journal of Biomolecular Structure and Dynamics | 2019
Energetically optimized pharmacophore modeling to identify dual negative allosteric modulators against group I mGluRs in neurodegenerative diseases
Abstract
Abstract Glutamate is the key neurotransmitter in human brain that regulates the important functions such as learning, memory and cognition. Abnormal regulation of glutamate leads to various neurodegenerative disorders. To regulate the glutamate signaling pathway we have employed a computational technique called energetically optimized pharmacophore model. We selected four-point pharmacophore (HRRR) based on the glide energy scores and screened the eMolecules database having more than 10 million compounds to find the potential dual negative allosteric modulators for both mGluR1 and mGluR5. The pharmacokinetic properties were calculated to filter out the unwanted molecules. Further, molecular docking, enrichment calculations and molecular dynamics simulations were executed. Finally, the top two compounds (1080734, 22696638) selected from the screened database could be potent dual negative allosteric modulators for the targeted proteins mGluR1 and mGluR5. AbbreviationsCNS central nervous systemGPCR G-protein coupled receptormGluR metabotropic glutamate receptorIFD induced fit dockingPOPC palmitoyloleoylphosphatidylcholineVFT Venus flytrap domainRMSD root mean square deviationRMSF root mean square fluctuation7TM seven transmembrane Communicated by Ramaswamy H. Sarma