![Sample our Bioscience journals, sign in here to start your access, Latest two full volumes FREE to you for 14 days]({"type":"image" , "src" : "/sda/5925/TOC-Subject-Sample-2021-Bioscience.jpg"})
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.
| Abbreviations | ||
| CNS | = | central nervous system |
| GPCR | = | G-protein coupled receptor |
| mGluR | = | metabotropic glutamate receptor |
| IFD | = | induced fit docking |
| POPC | = | palmitoyloleoylphosphatidylcholine |
| VFT | = | Venus flytrap domain |
| RMSD | = | root mean square deviation |
| RMSF | = | root mean square fluctuation |
| 7TM | = | seven transmembrane |
Communicated by Ramaswamy H. Sarma
Disclosure statement
No potential conflict of interest was reported by the authors.