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Ligand-guided homology modeling drives identification of novel histamine H3 receptor ligands
- Source :
- PLoS ONE, PLoS ONE, Vol 14, Iss 6, p e0218820 (2019)
- Publication Year :
- 2019
-
Abstract
- In this study, we report a ligand-guided homology modeling approach allowing the analysis of relevant binding site residue conformations and the identification of two novel histamine H3 receptor ligands with binding affinity in the nanomolar range. The newly developed method is based on exploiting an essential charge interaction characteristic for aminergic G-protein coupled receptors for ranking 3D receptor models appropriate for the discovery of novel compounds through virtual screening.
- Subjects :
- Models, Molecular
Drug Evaluation, Preclinical
Ligands
01 natural sciences
Molecular Docking Simulation
Biochemistry
Physical Chemistry
Radioligand Assay
User-Computer Interface
Database and Informatics Methods
Binding Analysis
Database Searching
Receptor
0303 health sciences
Multidisciplinary
Crystallography
Chemistry
Organic Compounds
Physics
Applied Mathematics
Simulation and Modeling
Neurochemistry
Neurotransmitters
Ligand (biochemistry)
Condensed Matter Physics
Physical Sciences
Crystal Structure
Medicine
Histamine H3 receptor
Algorithms
Protein Binding
Research Article
Signal Transduction
Histamine
Biogenic Amines
Transmembrane Receptors
Science
Computational biology
Library Screening
Research and Analysis Methods
histamine H3
03 medical and health sciences
Structure-Activity Relationship
Humans
Receptors, Histamine H3
Solid State Physics
Homology modeling
Binding site
Molecular Biology Techniques
Sequence Similarity Searching
Molecular Biology
Chemical Characterization
030304 developmental biology
G protein-coupled receptor
Virtual screening
Molecular Biology Assays and Analysis Techniques
Chemical Bonding
Organic Chemistry
Chemical Compounds
Biology and Life Sciences
Proteins
homology
Hydrogen Bonding
Cell Biology
0104 chemical sciences
010404 medicinal & biomolecular chemistry
HEK293 Cells
Structural Homology, Protein
G Protein Coupled Receptors
Mathematics
Neuroscience
Subjects
Details
- ISSN :
- 19326203
- Volume :
- 14
- Issue :
- 6
- Database :
- OpenAIRE
- Journal :
- PloS one
- Accession number :
- edsair.doi.dedup.....205b3c56446d58dbc4138ed60736d3aa