Identification of potential antagonists of CRF1R for possible treatment of stress and anxiety neuro-disorders using structure-based virtual screening and molecular dynamics simulation. (October 2022)
- Record Type:
- Journal Article
- Title:
- Identification of potential antagonists of CRF1R for possible treatment of stress and anxiety neuro-disorders using structure-based virtual screening and molecular dynamics simulation. (October 2022)
- Main Title:
- Identification of potential antagonists of CRF1R for possible treatment of stress and anxiety neuro-disorders using structure-based virtual screening and molecular dynamics simulation
- Authors:
- Uba, Abdullahi Ibrahim
Wu, Chun - Abstract:
- Abstract: G protein-coupled-receptors (GPCRs) are the largest family of cell surface receptors with tremendous therapeutic potential. They mediate signal transduction activities via G protein-dependent signaling pathways, G protein-independent signaling pathways, and other complicated regulatory processes. The corticotropin-releasing factor receptor type 1 (CRF1R) is a member of class B GPCRs that is predominantly found in the central nervous system, where it plays a key role in stress-related neuro-disorders. To date, no drug targeting this receptor has been approved, partly due to inadequate understanding of the activation mechanism of class B GPCRs. Previously, using MD simulation, we demonstrated that the CRF1R complexed with a small-molecule antagonist CP-376395 maintains a conformation of its transmembrane domain (TMD). Here, using the most abundant structures derived from those simulations, we carried out a structure-based virtual screening of ZINC15 "Druglike" library containing approximately 17 million compounds. The docking complexes of the CRF1R with the top 30 hits were submitted to MD simulation to examine the stability of ligand binding mode. Furthermore, MM-GBSA binding energy calculations were performed on all the complexes to rank them with improving accuracy. Hit 1 (ZINC000046079839) and hit 20 (ZINC000032907937) span the allosteric site of the CRF1R, persistently forming interactions with transmembrane helices 3 and 6. These interactions are likely to keepAbstract: G protein-coupled-receptors (GPCRs) are the largest family of cell surface receptors with tremendous therapeutic potential. They mediate signal transduction activities via G protein-dependent signaling pathways, G protein-independent signaling pathways, and other complicated regulatory processes. The corticotropin-releasing factor receptor type 1 (CRF1R) is a member of class B GPCRs that is predominantly found in the central nervous system, where it plays a key role in stress-related neuro-disorders. To date, no drug targeting this receptor has been approved, partly due to inadequate understanding of the activation mechanism of class B GPCRs. Previously, using MD simulation, we demonstrated that the CRF1R complexed with a small-molecule antagonist CP-376395 maintains a conformation of its transmembrane domain (TMD). Here, using the most abundant structures derived from those simulations, we carried out a structure-based virtual screening of ZINC15 "Druglike" library containing approximately 17 million compounds. The docking complexes of the CRF1R with the top 30 hits were submitted to MD simulation to examine the stability of ligand binding mode. Furthermore, MM-GBSA binding energy calculations were performed on all the complexes to rank them with improving accuracy. Hit 1 (ZINC000046079839) and hit 20 (ZINC000032907937) span the allosteric site of the CRF1R, persistently forming interactions with transmembrane helices 3 and 6. These interactions are likely to keep the receptor in an inactive state since both transmembrane helices play a critical role in the activation of the receptor. Graphical Abstract: ga1 Highlights: Using MD conformations, a ZINC15 druglike library (∼17 million compounds) was screened for potential CB2R antagonists. MD simulations and MM-GBSA binding free energy calculations were used to evaluate the top hits. Hits 1 (ZINC000046079839) and 20 (ZINC000032907937) demonstrate similar binding behavior as the existing CB2R antagonist. … (more)
- Is Part Of:
- Computational biology and chemistry. Volume 100(2022)
- Journal:
- Computational biology and chemistry
- Issue:
- Volume 100(2022)
- Issue Display:
- Volume 100, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 100
- Issue:
- 2022
- Issue Sort Value:
- 2022-0100-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-10
- Subjects:
- Class B GPCRs -- CRF1R -- Small-molecule antagonist -- Structure-based virtual screening -- MD simulation
Chemistry -- Data processing -- Periodicals
Biology -- Data processing -- Periodicals
Biochemistry -- Data processing
Biology -- Data processing
Molecular biology -- Data processing
Periodicals
Electronic journals
542.85 - Journal URLs:
- http://www.sciencedirect.com/science/journal/14769271 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.compbiolchem.2022.107743 ↗
- Languages:
- English
- ISSNs:
- 1476-9271
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3390.576700
British Library DSC - BLDSS-3PM
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- 23288.xml