Computational insights into factor affecting the potency of diaryl sulfone analogs as Escherichia coli dihydropteroate synthase inhibitors. (February 2019)
- Record Type:
- Journal Article
- Title:
- Computational insights into factor affecting the potency of diaryl sulfone analogs as Escherichia coli dihydropteroate synthase inhibitors. (February 2019)
- Main Title:
- Computational insights into factor affecting the potency of diaryl sulfone analogs as Escherichia coli dihydropteroate synthase inhibitors
- Authors:
- Das, Bratin Kumar
PV, Pushyaraga
Chakraborty, Debashree - Abstract:
- Graphical abstract: Highlights: A statistically significant 3D-QSAR model of diaryl sulfone derivatives has been developed. Probable binding and interaction of diaryl sulfone compounds at DHPS catalytic pocket are explored by molecular docking. DFT calculations helped to understand the probable stabilizing factor of the protein-ligand complex affecting biological activity. The computed ΔΔG between most potent and least potent molecules are comparable with experimental result. A10 ns MD simulation was performed to confirm the stability of top scored sulfone compound at the catalytic pocket of DHPS. Abstract: Dihydropteroate synthase (DHPS) is an alluring target for designing novel drug candidates to prevent infections caused by pathogenic Escherichia coli strains. Diaryl Sulfone (SO) compounds are found to inhibit DHPS competitively with respect to the substrate p ABA ( p -aminobenzoate). The extra aromatic ring of diaryl sulfone compounds found to stabilize them in highly flexible p ABA binding loops. In this present study, a statistically significant 3D-QSAR model was developed using a data set of diaryl sulfone compounds. The favourable and unfavourable contributions of substitutions in sulfone compounds were illustrated by contour plot obtained from the developed 3D-QSAR model. Molecular docking calculations were performed to investigate the putative binding mode of diaryl sulfone compounds at the catalytic pocket. DFT calculations were carried out using SCF approach,Graphical abstract: Highlights: A statistically significant 3D-QSAR model of diaryl sulfone derivatives has been developed. Probable binding and interaction of diaryl sulfone compounds at DHPS catalytic pocket are explored by molecular docking. DFT calculations helped to understand the probable stabilizing factor of the protein-ligand complex affecting biological activity. The computed ΔΔG between most potent and least potent molecules are comparable with experimental result. A10 ns MD simulation was performed to confirm the stability of top scored sulfone compound at the catalytic pocket of DHPS. Abstract: Dihydropteroate synthase (DHPS) is an alluring target for designing novel drug candidates to prevent infections caused by pathogenic Escherichia coli strains. Diaryl Sulfone (SO) compounds are found to inhibit DHPS competitively with respect to the substrate p ABA ( p -aminobenzoate). The extra aromatic ring of diaryl sulfone compounds found to stabilize them in highly flexible p ABA binding loops. In this present study, a statistically significant 3D-QSAR model was developed using a data set of diaryl sulfone compounds. The favourable and unfavourable contributions of substitutions in sulfone compounds were illustrated by contour plot obtained from the developed 3D-QSAR model. Molecular docking calculations were performed to investigate the putative binding mode of diaryl sulfone compounds at the catalytic pocket. DFT calculations were carried out using SCF approach, B3LYP- 6-31 G (d) basis set to compute the HOMO, LUMO energies and their respective location at p ABA binding pocket. Further, the developed model was validated by FEP (Free Energy Perturbation) calculations. The calculated relative free energy of binding between the highly potent and less potent sulfone compound was found to be −3.78 kcal/ mol which is comparable to the experimental value of −5.85 kcal/mol. A 10 ns molecular dynamics simulation of inhibitor and DHPS confirmed its stability at p ABA catalytic site. Outcomes of the present work provide deeper insight in designing novel drug candidates for pathogenic Escherichia coli strains. … (more)
- Is Part Of:
- Computational biology and chemistry. Volume 78(2019)
- Journal:
- Computational biology and chemistry
- Issue:
- Volume 78(2019)
- Issue Display:
- Volume 78, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 78
- Issue:
- 2019
- Issue Sort Value:
- 2019-0078-2019-0000
- Page Start:
- 37
- Page End:
- 52
- Publication Date:
- 2019-02
- Subjects:
- B3LYP-6-31G (d) Becke, three parameter Lee-Yang-Parr functional of 6-31 G basis set -- 3D-QSAR 3 dimensional quantitative structure-activity relationship -- DHPS dihydropteroate synthase -- DHP+ cationic intermediate of 7, 8-dihydropterine -- E. coli Escherichia coli -- FEP free energy perturbation -- F ratio of model variance to the observed activity variance (variance ratio) -- HOMO highest occupied molecular orbital -- LUMO lowest unoccupied molecular orbital -- P significance level of variance ratio -- Pearson–r linear correlation between test set structures and their activity -- Q2 test set correlation coefficient -- R2 regression coefficient -- RMSE root mean square error -- RMSD root mean square deviation -- SD standard deviation -- SO sulfone -- SCF self consistent field -- UTI urinary tract infection
Dihydropteroate synthase -- 3D-QSAR -- Molecular docking -- Density functional theory -- Free energy perturbation -- Molecular dynamics simulation -- Diaryl sulfone
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.2018.11.005 ↗
- Languages:
- English
- ISSNs:
- 1476-9271
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- Legaldeposit
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