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Discovery of new MurA inhibitors using induced-fit simulation and docking
- Source :
- Bioorganic and Medicinal Chemistry Letters, Bioorganic and Medicinal Chemistry Letters, Elsevier, 2017, 27 (4), pp.944--949. ⟨10.1016/j.bmcl.2016.12.082⟩, Bioorganic and Medicinal Chemistry Letters, 2017, 27 (4), pp.944--949. ⟨10.1016/j.bmcl.2016.12.082⟩
- Publication Year :
- 2016
-
Abstract
- We report on the successful application of ProBiS-CHARMMing web server in the discovery of new inhibitors of MurA, an enzyme that catalyzes the first committed cytoplasmic step of bacterial peptidoglycan synthesis. The available crystal structures of Escherichia coli MurA in the Protein Data Bank have binding sites whose small volume does not permit the docking of drug-like molecules. To prepare the binding site for docking, the ProBiS-CHARMMing web server was used to simulate the induced-fit effect upon ligand binding to MurA, resulting in a larger, more holo-like binding site. The docking of a filtered ZINC compound library to this enlarged binding site was then performed and resulted in three compounds with promising inhibitory potencies against MurA. Compound 1 displayed significant inhibitory potency with IC50 value of 1μM. All three compounds have novel chemical structures, which could be used for further optimization of small-molecule MurA inhibitors.
- Subjects :
- 0301 basic medicine
Stereochemistry
[SDV]Life Sciences [q-bio]
Clinical Biochemistry
Pharmaceutical Science
Peptidoglycan
01 natural sciences
Biochemistry
Molecular Docking Simulation
03 medical and health sciences
Mura
MurA inhibitors
Drug Discovery
Binding site
Enzyme Inhibitors
Molecular Biology
chemistry.chemical_classification
Alkyl and Aryl Transferases
010405 organic chemistry
Drug discovery
Organic Chemistry
computer.file_format
Protein Data Bank
Small molecule
Combinatorial chemistry
0104 chemical sciences
Small-molecule inhibitors
ProBiS-CHARMMing web server
030104 developmental biology
Enzyme
Antibacterial agents
chemistry
Carbohydrate Sequence
Docking (molecular)
Molecular Medicine
computer
induced fit
Subjects
Details
- ISSN :
- 14643405 and 0960894X
- Volume :
- 27
- Issue :
- 4
- Database :
- OpenAIRE
- Journal :
- Bioorganicmedicinal chemistry letters
- Accession number :
- edsair.doi.dedup.....2b0117dd33cb63d45b46d1b8ed89a225
- Full Text :
- https://doi.org/10.1016/j.bmcl.2016.12.082⟩