Related Experiment Video
Updated: Apr 4, 2026

A Strategy to Identify Compounds that Affect Cell Growth and Survival in Cultured Mammalian Cells at Low-to-Moderate Throughput
Published on: September 22, 2019
Novel Scaffold Identification of mGlu1 Receptor Negative Allosteric Modulators Using a Hierarchical Virtual Screening
Jae Wan Jang1,2, Nam-Chul Cho1,3, Sun-Joon Min4
1Center for Neuro-Medicine, Brain Science Institute, Korea Institute of Science and Technology (KIST), Hwarangno 14-gil 5, Seongbuk-gu, Seoul, 136-791, Korea.
Abstract:
Metabotropic glutamate receptor 1 (mGluR1) is considered as an attractive drug target for neuropathic pain treatments. The hierarchical virtual screening approach for identifying novel scaffolds of mGluR1 allosteric modulators was performed using a homology model built with the dopamine D3 crystal structure as template. The mGluR1 mutagenesis data, conserved amino acid sequences across class A and class C GPCRs, and previously reported multiple sequence alignments of class C GPCRs to the rhodopsin template, were employed for the sequence alignment to overcome difficulties of model generation with low sequence identity of mGluR1 and dopamine D3. The structures refined by molecular dynamics simulations were employed for docking of Asinex commercial libraries after hierarchical virtual screening with pharmacophore and naïve Bayesian models. Five of 35 compounds experimentally evaluated using a calcium mobilization assay exhibited micromolar activities (IC50) with chemotype novelty that demonstrated the validity of our methods. A hierarchical structure and ligand-based virtual screening approach with homology model of class C GPCR based on dopamine D3 class A GPCR structure was successfully performed and applied to discover novel negative mGluR1 allosteric modulators.
More Related Videos
10:25Screening Traditional Chinese Medicine Compounds for Inhibiting UCHL3 Activity Based on Molecular Docking and Deubiquitinating Enzyme Probe Technology
Published on: November 22, 2024
07:16Methods for the Discovery of Novel Compounds Modulating a Gamma-Aminobutyric Acid Receptor Type A Neurotransmission
Published on: August 16, 2018