Skip to main content
Log in

In silico analysis of peroxidase from Luffa acutangula

  • Original Article
  • Published:
3 Biotech Aims and scope Submit manuscript

Abstract

Peroxidases are oxidoreductase enzymes that widely gained attention as biocatalysts for their robust catalytic activity, specificity, and regioselective functionality for phenolic compounds. The study of molecular aspects of peroxidases is as crucial as that of the physicochemical aspects. A bioinformatics approach is utilized in this study to investigate the structural aspects and functions of luffa peroxidase (LPrx) from Luffa acutangula. The evolutionary relationship of LPrx with other class III peroxidases was studied by constructing a neighbour-joining phylogenetic tree. An analysis of the phylogenetic tree revealed that plant peroxidases share a common ancestor. The gene ontology term showed that LPrx had a molecular functionality of the oxidation–reduction process, heme binding and peroxidase-like activity, and the biological function of hydrogen peroxide scavenging activity. The enzyme-ligand interactions were studied from a catalytic point of view using the molecular docking technique. The molecular docking was carried out with LPrx as a receptor and guaiacol, m-cresol, p-cresol, catechol, quinol, pyrogallol, 2,4-dimethoxyphenol, gallic acid, aniline, and o-phenylenediamine as ligands. The results presented in the current communication will have a significant implication in proteomics, biochemistry, biotechnology, and the potential applications of peroxidases in the biotransformations of organic compounds.

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
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

Data availability

All data generated or analysed during this study are available within the article.

References

  • Acebes S, Ruiz-Dueñas FJ, Toubes M et al (2017) Mapping the long-range electron transfer route in ligninolytic peroxidases. J Phys Chem B 121:3946–3954

    Article  CAS  Google Scholar 

  • Baker MR, Zhao H, Sakharov IY, Li QX (2014) Amino acid sequence of anionic peroxidase from the windmill palm tree Trachycarpus fortunei. J Agric Food Chem 62:11941–11948. https://doi.org/10.1021/jf504511h

    Article  CAS  Google Scholar 

  • Basumatary D, Yadav M, Nath P, Yadav HS (2020) Catalytic biotransformations and inhibition study of peroxidase from Luffa aegyptiaca. Curr Organocatalysis. https://doi.org/10.2174/2213337207666200211095038

    Article  Google Scholar 

  • Berglund GI, Carlsson GH, Smith AT et al (2002) The catalytic pathway of horseradish peroxidase at high resolution. Nature 417:463–468. https://doi.org/10.1038/417463a

    Article  CAS  Google Scholar 

  • Bienert S, Waterhouse A, De Beer TAP et al (2017) The SWISS-MODEL Repository—new features and functionality. Nucleic Acids Res 45:D313–D319

    Article  CAS  Google Scholar 

  • Cai F, Zhu Q, Zhao K et al (2015) Multiple signal amplified electrochemiluminescent immunoassay for Hg2+ using graphene-coupled quantum dots and gold nanoparticles-labeled horseradish peroxidase. Environ Sci Technol 49:5013–5020

    Article  CAS  Google Scholar 

  • Combet C, Blanchet C, Geourjon C, Deleage G (2000) NPS@: network protein sequence analysis. Trends Biochem Sci 25:147–150

    Article  CAS  Google Scholar 

  • Du X, Li Y, Xia Y-L et al (2016) Insights into protein–ligand interactions: mechanisms, models, and methods. Int J Mol Sci 17:144

    Article  Google Scholar 

  • Eisenberg D, Lüthy R, Bowie JU (1997) VERIFY3D: Assessment of protein models with three-dimensional profiles. Methods Enzymol 277:396–404. https://doi.org/10.1016/s0076-6879(97)77022-8

  • Flohé L, Toppo S, Orian L (2022) The glutathione peroxidase family: Discoveries and mechanism. Free Radic Biol Med 187:113–122

    Article  Google Scholar 

  • Gasteiger E, Hoogland C, Gattiker A et al (2005) Protein identification and analysis tools on the ExPASy server. In: Walker John M (ed) proteomics Protoc Handb. Humana Press, Totowa, NJ, pp 571–607

    Chapter  Google Scholar 

  • Hark Gan H, Perlow RA, Roy S et al (2002) Analysis of protein sequence/structure similarity relationships. Biophys J 83:2781–2791. https://doi.org/10.1016/S0006-3495(02)75287-9

    Article  Google Scholar 

  • Herrero J, Fernández-Pérez F, Yebra T et al (2013) Bioinformatic and functional characterization of the basic peroxidase 72 from Arabidopsis thaliana involved in lignin biosynthesis. Planta 237:1599–1612

    Article  CAS  Google Scholar 

  • Ikai A (1980) Thermostability and aliphatic index of globular proteins. J Biochem 88:1895–1898

    CAS  Google Scholar 

  • Kim SJ, Lee JA, Joo JC et al (2010) The development of a thermostable CiP (Coprinus cinereus peroxidase) through in silico design. Biotechnol Prog 26:1038–1046

    CAS  Google Scholar 

  • Kumar S, Bhardwaj VK, Singh R et al (2022) Identification of acridinedione scaffolds as potential inhibitor of DENV-2 C protein: An in silico strategy to combat dengue. J Cell Biochem 123(5):935–946

    Article  CAS  Google Scholar 

  • Kumar S, Bhardwaj VK, Singh R, Purohit R (2021) Explicit-solvent molecular dynamics simulations revealed conformational regain and aggregation inhibition of I113T SOD1 by Himalayan bioactive molecules. J Mol Liq 339:116798

    Article  CAS  Google Scholar 

  • Kyte J, Doolittle RF (1982) A simple method for displaying the hydropathic character of a protein. J Mol Biol 157:105–132

    Article  CAS  Google Scholar 

  • Laskowski RA, MacArthur MW, Moss DS, Thornton JM (1993) PROCHECK: a program to check the stereochemical quality of protein structures. J Appl Crystallogr 26:283–291

    Article  CAS  Google Scholar 

  • Morsi R, Bilal M, Iqbal HMN, Ashraf SS (2020) Laccases and peroxidases: The smart, greener and futuristic biocatalytic tools to mitigate recalcitrant emerging pollutants. Sci Total Environ 714:136572. https://doi.org/10.1016/J.SCITOTENV.2020.136572

    Article  CAS  Google Scholar 

  • Moyo M (2014) Horseradish peroxidase biosensor to detect zinc ions in aqueous solutions. Open J Appl Biosens 3(1):1–7

    Article  Google Scholar 

  • Moyo M, Okonkwo JO (2014) Horseradish peroxidase biosensor based on maize tassel–MWCNTs composite for cadmium detection. Sens Actuators B Chem 193:515–521

    Article  CAS  Google Scholar 

  • Nokthai P, Lee VS, Shank L (2010) Molecular modeling of peroxidase and polyphenol oxidase: substrate specificity and active site comparison. Int J Mol Sci 11:3266–3276

    Article  CAS  Google Scholar 

  • Nomngongo PN, Ngila JC, Nyamori VO et al (2011) Determination of selected heavy metals using amperometric horseradish peroxidase (HRP) inhibition biosensor. Anal Lett 44:2031–2046

    Article  CAS  Google Scholar 

  • Pandey VP, Awasthi M, Singh S et al (2017) A comprehensive review on function and application of plant peroxidases. Biochem Anal Biochem 6:308

    Article  Google Scholar 

  • Pandey VP, Singh S, Jaiswal N et al (2013) Papaya fruit ripening: ROS metabolism, gene cloning, characterization and molecular docking of peroxidase. J Mol Catal B Enzym 98:98–105. https://doi.org/10.1016/j.molcatb.2013.10.005

    Article  CAS  Google Scholar 

  • Saitou N, Nei M (1987) The neighbor-joining method: a new method for reconstructing phylogenetic trees. Mol Biol Evol 4:406–425

    CAS  Google Scholar 

  • Singh AK, Bilal M, Iqbal HMN, Raj A (2022a) In silico analytical toolset for predictive degradation and toxicity of hazardous pollutants in water sources. Chemosphere 292:133250

    Article  CAS  Google Scholar 

  • Singh AK, Katari SK, Umamaheswari A, Raj A (2021a) In silico exploration of lignin peroxidase for unraveling the degradation mechanism employing lignin model compounds. RSC Adv 11:14632–14653

    Article  CAS  Google Scholar 

  • Singh I, Shah K (2014) Evidences for structural basis of altered ascorbate peroxidase activity in cadmium-stressed rice plants exposed to jasmonate. Biometals 27:247–263. https://doi.org/10.1007/s10534-014-9705-z

    Article  CAS  Google Scholar 

  • Singh R, Bhardwaj VK, Das P, Purohit R (2022b) Identification of 11β-HSD1 inhibitors through enhanced sampling methods. Chem Commun 58:5005–5008

    Article  CAS  Google Scholar 

  • Singh R, Bhardwaj VK, Das P, Purohit R (2021b) New ecdysone receptor agonists: a computational approach for rational discovery of insecticides for crop protection. Mol Syst Des Eng 6:936–945

    Article  CAS  Google Scholar 

  • Singh R, Bhardwaj VK, Purohit R (2022c) Computational targeting of allosteric site of MEK1 by quinoline-based molecules. Cell Biochem Funct 40:481–490

    Article  CAS  Google Scholar 

  • Singh R, Kumar S, Bhardwaj VK, Purohit R (2022d) Screening and reckoning of potential therapeutic agents against DprE1 protein of Mycobacterium tuberculosis. J Mol Liq 358:119101

    Article  CAS  Google Scholar 

  • Thiede B, Höhenwarter W, Krah A et al (2005) Peptide mass fingerprinting. Methods 35:237–247

    Article  CAS  Google Scholar 

  • Trott O, Olson AJ (2010) AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading. J Comput Chem 31:455–461

    CAS  Google Scholar 

  • Veitch NC (2004) Horseradish peroxidase: a modern view of a classic enzyme. Phytochemistry 65:249–259

    Article  CAS  Google Scholar 

  • Wallner B, Elofsson A (2003) Can correct protein models be identified? Protein Sci 12:1073–1086

    Article  CAS  Google Scholar 

  • Webster J, Oxley D (2012) Protein identification by MALDI-TOF mass spectrometry. In: Zanders Edward D (ed) Chemical genomics and proteomics. Springer, Totowa, NJ, pp 227–240

    Chapter  Google Scholar 

  • Wiederstein M, Sippl MJ (2007) ProSA-web: interactive web service for the recognition of errors in three-dimensional structures of proteins. Nucleic Acids Res 35:W407–W410. https://doi.org/10.1093/nar/gkm290

    Article  Google Scholar 

  • Yadav M, Rai N, Yadav HS (2017) The role of peroxidase in the enzymatic oxidation of phenolic compounds to quinones from Luffa aegyptiaca (gourd) fruit juice. Green Chem Lett Rev 10:154–161

    Article  CAS  Google Scholar 

  • Yang J, Yan R, Roy A et al (2015) The I-TASSER Suite: protein structure and function prediction. Nat Methods 12:7–8. https://doi.org/10.1038/nmeth.3213

    Article  CAS  Google Scholar 

  • Zhang L, Skolnick J (1998) What should the Z-score of native protein structures be? Protein Sci 7:1201–1207. https://doi.org/10.1002/pro.5560070515

    Article  CAS  Google Scholar 

Download references

Acknowledgements

The authors thank the Department of Chemistry, North Eastern Regional Institute of Science and Technology, Nirjuli, Arunachal Pradesh, India, for providing adequate lab facilities and the Sandor Speciality Diagnostics Pvt. Ltd. for the MALDI-TOF MS data. The authors also thank the Ministry of Tribal Affairs, New Delhi, India, for providing fellowship to Dencil Basumatary under the “National Fellowship and Scholarship for Higher Education for ST Students” scheme.

Author information

Authors and Affiliations

Authors

Contributions

DB has performed all experimental and software analyses and written the manuscript. SS has investigated and edited the manuscript. HSY and MY supervised and reviewed the manuscript. All authors reviewed and approved the final manuscript.

Corresponding author

Correspondence to Dencil Basumatary.

Ethics declarations

Conflict of interest

The authors declare no conflict of interest in any materials discussed in this article.

Consent for publication

This article does not contain any studies with human or animal subjects.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 12 KB)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Basumatary, D., Saikia, S., Yadav, H.S. et al. In silico analysis of peroxidase from Luffa acutangula. 3 Biotech 13, 25 (2023). https://doi.org/10.1007/s13205-022-03432-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s13205-022-03432-8

Keywords

Navigation