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Insight into natural inhibitors and bridging docking to dynamic simulation against sugar Isomerase (SIS) domain protein.
- Source :
-
Journal of molecular modeling [J Mol Model] 2020 Aug 03; Vol. 26 (8), pp. 221. Date of Electronic Publication: 2020 Aug 03. - Publication Year :
- 2020
-
Abstract
- The pathogen Legionella longbeachae is a causative agent of legionellosis. The antibiotic resistance is the major problem of this modern world. Thus, selective pressure warrants the need for identification of newer drug target. In current study, subtractive proteomics approach screen out SIS (sugar isomerase) domain protein as an attractive receptor molecule for rational drug design. This protein is involved in lipopolysaccharide biosynthesis and catalyzes the isomerization of sedoheptulose 7-phosphate in D-glycero-D-manno-heptose 7-phosphate. Molecular docking revealed compound 1 (2-(6-(N,N-dimethyl sulfamoyl)pipridin-4-yl)pyrazin-2-yl)imidazol-3-ium-1-ide) as the potent inhibitor having GOLD fitness score of 69. The complex is affirmed by half-site effect via simulation analysis. Complex stability was investigated via several approaches that follows dynamic simulation and binding energies. Trajectory analysis revealed slight change in ring positioning of inhibitor inside the active pocket during 130 ns (nanosecond). Interestingly, it was affirmed via binding interactions' density distribution. Hence, radial distribution function (RDF) inferred that SER55 and SER83 are the major residues that take part in hydrogen bonding and complex stability. Furthermore, an indigenously developed method axial frequency distribution (AFD) has revealed that ligand moved closer to the active site with both the residues SER55 and SER83 binding to the ligand. The phenomena was observed via rotating motion with respect to receptor center cavity. Thus, inhibitor movement towards allosteric site was observed at the end of simulations. Finally, binding free energy calculations by MMPB/GBSA predicts high compound affinity for the complex. Hence, findings from the current study will aid in the novel drug discovery and future experimental studies. Graphical abstract.
- Subjects :
- Allosteric Site
Catalytic Domain
Chemical Phenomena
Drug Design
Enzyme Inhibitors pharmacology
Hydrogen Bonding
Isomerases antagonists & inhibitors
Molecular Structure
Protein Binding
Proteomics
Quantitative Structure-Activity Relationship
Enzyme Inhibitors chemistry
Isomerases chemistry
Molecular Docking Simulation
Molecular Dynamics Simulation
Protein Domains
Sugars chemistry
Subjects
Details
- Language :
- English
- ISSN :
- 0948-5023
- Volume :
- 26
- Issue :
- 8
- Database :
- MEDLINE
- Journal :
- Journal of molecular modeling
- Publication Type :
- Academic Journal
- Accession number :
- 32748070
- Full Text :
- https://doi.org/10.1007/s00894-020-04475-5