Skip to main content
Log in

Elucidation of the hetero-dimeric binding activity of LasR and RhlR proteins with the promoter DNA and the role of a specific Phe residue during the biosynthesis of HCN synthase from opportunistic pathogen Pseudomonas aeruginosa

  • Original Paper
  • Published:
Journal of Molecular Modeling Aims and scope Submit manuscript

Abstract

Pseudomonas aeruginosa is an opportunistic human pathogen. It causes secondary infections in patients suffering from cancer and other immunological disorders. The pathogenicity of the organism is dependent on the ability of the organism to code for hydrogen cyanide (HCN), the synthesis of which is mediated by HCN synthase enzyme. HCN synthase is encoded by hcnABC operon. The transcription of the operon is controlled by a complex interplay between the proteins LasR and RhlR. Till date, there is no report that deals with the binding interactions of the RhlR-LasR heterodimer with the promoter DNA region of the hcnABC operon. We, for the first time, tried to analyse the binding modes of the RhlR-LasR heterodimer with the promoter DNA regions. From our work, we could predict the importance of a specific amino acid residue Phe214 from RhlR which might be considered to have the desired specificity to bind to the promoter DNA. Therefore, the amino acid Phe214 may be targeted to develop suitable ligands to eradicate the spread of secondary infections by Pseudomonas aeruginosa.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

Data availability

Not applicable.

References

  1. Al-Wrafy F, Brzozowska E, Górska S, Gamian A (2017) Pathogenic factors of Pseudomonas aeruginosa - the role of biofilm in pathogenicity and as a target for phage therapy. Postepy Hig Med Dosw (Online) 71:78–91. https://doi.org/10.5604/01.3001.0010.3792

    Article  Google Scholar 

  2. Sass G, Nazik H, Penner J, Shah H, Ansari SR, Clemons KV et al (2018) Studies of Pseudomonas aeruginosa mutants indicate pyoverdine as the central factor in inhibition of Aspergillusfumigatus biofilm. J Bacteriol 200. https://doi.org/10.1128/JB.00345-17

  3. Lister PD, Wolter DJ, Hanson ND (2009) Antibacterial-resistant Pseudomonas aeruginosa: clinical impact and complex regulation of chromosomally encoded resistance mechanisms. Clin Microbiol Rev 22:582–610. https://doi.org/10.1128/CMR.00040-09

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Pessi G, Haas D (2000) Transcriptional control of the hydrogen cyanide biosynthetic genes hcnABC by the anaerobic regulator ANR and the quorum-sensing regulators LasR and RhlR in Pseudomonas aeruginosa. J Bacteriol 182:6940–6949. https://doi.org/10.1128/JB.182.24.6940-6949.2000

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Chowdhury N, Bagchi A (2016) Molecular insight into the activity of LasR protein from Pseudomonas aeruginosa in the regulation of virulence gene expression by this organism. Gene 580(1):80–87. https://doi.org/10.1016/j.gene.2015.12.067

    Article  CAS  PubMed  Google Scholar 

  6. Chowdhury N, Bagchi A (2018) Identification of ligand binding activity and DNA recognition by RhlR protein from opportunistic pathogen Pseudomonas aeruginosa—a molecular dynamic simulation approach. J Mol Recognit 31. https://doi.org/10.1002/jmr.2738

  7. Benson DA et al (2012) GenBank. Nucleic Acids Res 41(D1):D36–D42. https://doi.org/10.1093/nar/gks1195

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Stover CK et al (2000) Complete genome sequence of Pseudomonas aeruginosa PAO1, an opportunistic pathogen. Nature. https://doi.org/10.1038/35023079

  9. Lintz MJ, Oinuma K-I, Wysoczynski CL, Greenberg EP, Churchill MEA (2011) Crystal structure of QscR, a Pseudomonas aeruginosa quorum sensing signal receptor. Proc Natl Acad Sci 108(38):15763–15768. https://doi.org/10.1073/pnas.1112398108

    Article  PubMed  Google Scholar 

  10. Zou Y, Nair SK (2009) LasR-OC12 HSL complex. Sep. https://doi.org/10.2210/pdb3ix3/pdb

  11. V. M. A. Ducroset al. (2001) Crystal structure of GerE, the ultimate transcriptional regulator of spore formation in Bacillus subtilis. J. Mol. Biol. https://doi.org/10.1006/jmbi.2001.4443

  12. Nguyen Y et al (2015) Structural and mechanistic roles of novel chemical ligands on the SdiA quorum-sensing transcription regulator. MBio. https://doi.org/10.1128/mBio.02429-14

  13. Baker MD, Neiditch MB (2011) Structural basis of response regulator inhibition by a bacterial anti-activator protein. PLoS Biol. https://doi.org/10.1371/journal.pbio.1001226

  14. Laskowski RA, MacArthur MW, Moss DS, Thornton JM (1993) PROCHECK: a program to check the stereochemical quality of protein structures. J Appl Crystallogr. https://doi.org/10.1107/s0021889892009944

  15. Eisenberg D, Lüthy R, Bowie JU (1997) VERIFY3D: assessment of protein models with three-dimensional profiles. Methods Enzymol 277:396–406. https://doi.org/10.1016/S0076-6879(97)77022-8

    Article  CAS  PubMed  Google Scholar 

  16. PubChem (2016) PubChem compound, National Center for Biotechnology Information, U.S. National Library of Medicine. https://www.ncbi.nlm.nih.gov/pccompound. Accessed 12.04.2015

  17. Brooks BR et al (J2009) CHARMM: the biomolecular simulation program. J Comput Chem 30(10):1545–1614. https://doi.org/10.1002/jcc.21287

  18. Hancock JM, Zvelebil MJ, Zvelebil MJ (2004) UniProt: a worldwide hub of protein knowledge. Nucleic Acids Res. 47:D506–515

  19. Šali A and Blundell TL (1993) Comparative protein modelling by satisfaction of spatial restraints. J Mol Biol 234:779–815

  20. Berman HM et al (2000) The protein data bank. Nucleic Acids Res 28(1):235–242. https://doi.org/10.1093/nar/28.1.235

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Schneidman-Duhovny D, Inbar Y, Nussinov R, Wolfson HJ (2005) PatchDock and SymmDock: servers for rigid and symmetric docking. Nucl Acids Res 33:W363–367

  22. Mashiach E, Schneidman-Duhovny D, Andrusier N, Nussinov R, Wolfson HJ (2008) FireDock: a web server for fast interaction refinement in molecular docking. Nucleic Acids Res 36(Web Server issue):W229–32

  23. Bin Zaman A, Kamranfar P, Domeniconi C, Shehu A (2020) Reducing ensembles of protein tertiary structures generated de novo via clustering. Molecules. https://doi.org/10.3390/molecules25092228

  24. Pandey B, Grover A, Sharma P (2018) Molecular dynamics simulations revealed structural differences among WRKY domain-DNA interaction in barley (Hordeumvulgare). BMC Genomics. https://doi.org/10.1186/s12864-018-4506-3

  25. Pierce BG, Wiehe K, Hwang H, Kim B-H, Vreven T, Weng Z (2014) ZDOCK server: interactive docking prediction of protein–protein complexes and symmetric multimers. Bioinformatics:btu097. https://doi.org/10.1093/bioinformatics/btu097

  26. Daura X, Gademann K, Jaun B, Seebach D, van Gunsteren WF, Mark AE (1999) Peptide folding: when simulation meets experiment. Angew. Chemie Int. Ed. https://doi.org/10.1002/(sici)1521-3773(19990115)38:1/2<236::aid-anie236>3.3.co;2-d

  27. Abdulazeez S (2019) Molecular simulation studies on B-cell lymphoma/leukaemia 11A (BCL11A). Am J Transl Res 11(6):3689–3697 [Online]. Available: http://www.ncbi.nlm.nih.gov/pubmed/31312380

    CAS  PubMed  PubMed Central  Google Scholar 

  28. Yang B et al (2019) Molecular docking and molecular dynamics (MD) simulation of human anti-complement factor h (CFH) antibody Ab42 and CFH polypeptide. Int J Mol Sci. https://doi.org/10.3390/ijms20102568

  29. Yan Y, Zhang D, Zhou P, Li B, Huang SY (2017) HDOCK: A web server for protein-protein and protein-DNA/RNA docking based on a hybrid strategy. Nucleic Acids Res. https://doi.org/10.1093/nar/gkx407

  30. Garzon JI et al (2009) FRODOCK: A new approach for fast rotational protein-protein docking. Bioinformatics. https://doi.org/10.1093/bioinformatics/btp447

  31. Martin WR, Lightstone FC, Cheng F (2020) In silico insights into protein–protein interaction disruptive mutations in the PCSK9-LDLR complex. Int J Mol Sci. https://doi.org/10.3390/ijms21051550

  32. Kumari R, Kumar R, Lynn A (2014) G-mmpbsa -A GROMACS tool for high-throughput MM-PBSA calculations. J Chem Inf Model. https://doi.org/10.1021/ci500020m

  33. Kumar R, Maurya R, Saran S (2019) Introducing a simple model system for binding studies of known and novel inhibitors of AMPK: a therapeutic target for prostate cancer. J Biomol Struct Dyn. https://doi.org/10.1080/07391102.2018.1441069

Download references

Acknowledgements

The authors would like to thank ICMR (Grant no. BIC/12(02)/2014) for financial support. The support from the DBT-sponsored Bioinformatics Infrastructure Facility Centre of Kalyani University, DST-FIST-II, UGC-SAP-DRSII and University of Kalyani is also acknowledged.

Funding

The authors would like to thank ICMR (Grant no. BIC/12(02)/2014) for financial support. The support from the DBT-sponsored Bioinformatics Infrastructure Facility Centre of Kalyani University, DST-FIST-II, UGC-SAP-DRSII and University of Kalyani is also acknowledged.

Author information

Authors and Affiliations

Authors

Contributions

NC and AB designed the work. NC performed the work. AB conceptualized the work. Both the authors wrote the manuscript.

Corresponding author

Correspondence to Angshuman Bagchi.

Ethics declarations

Ethics approval

Not applicable.

Consent for publication

All authors agreed to publish the manuscript.

Conflict of interest

The authors declare no competing interests.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

ESM 1

(DOCX 21720 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chowdhury, N., Bagchi, A. Elucidation of the hetero-dimeric binding activity of LasR and RhlR proteins with the promoter DNA and the role of a specific Phe residue during the biosynthesis of HCN synthase from opportunistic pathogen Pseudomonas aeruginosa. J Mol Model 27, 76 (2021). https://doi.org/10.1007/s00894-021-04701-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s00894-021-04701-8

Keywords

Navigation