In silico Evaluation of Cross-linkers for Immobilizing Laccase in Scalable Polyethylene Terephthalate (PET) Biodegradation

Authors

  • Emilia Kasi Universiti Teknologi Malaysia
  • Nashriq Jailani Department of Bioprocess and Polymer Engineering, Faculty of Chemical and Energy Engineering, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia
  • Roshanida A.Rahman Department of Bioprocess and Polymer Engineering, Faculty of Chemical and Energy Engineering, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia
  • Rosli Md. Illias Department of Bioprocess and Polymer Engineering, Faculty of Chemical and Energy Engineering, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia
  • Nik Yusnoraini Yusof Institute for Research in Molecular Medicine (INFORMM), Health Campus, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia
  • Nardiah Rizwana Jaafar Department of Bioprocess and Polymer Engineering, Faculty of Chemical and Energy Engineering, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia

DOI:

https://doi.org/10.11113/bioprocessing.v5n1.93

Keywords:

Enzyme immobilization, molecular docking, Molecular dynamics, PET biodegradation

Abstract

The rapid accumulation of polyethylene terephthalate (PET) in the environment has intensified the need for sustainable and efficient strategies for plastic degradation. Laccase, a flexible oxidoreductase able to attack and cleave the ester linkage for potential PET hydrolysis, is hindered in practical applications by limited stability, restricted reusability, and susceptibility to industrial conditions. This study employed in silico approaches, including molecular docking and molecular dynamics (MD) simulations, to evaluate the interactions and stability of laccase immobilized with a diverse set of cross-linkers: micromolecular (ethylene glycol, glutaraldehyde, and benzoquinone), macromolecular (chitosan, and dextran), and polysaccharide-based (amylopectin, dextran, and glucosamine). Among these, glucosamine exhibited the strong binding affinity, with ΔG values of –7.0 kcal/mol (AutoDock) and –7.98 kcal/mol (SwissDock), forming 4–7 persistent hydrogen bonds at a safe distance of 15–21 Å from the T1 copper catalytic centre. MD simulations over 10 ns confirmed enhanced structural stability of the laccase + glucosamine complex, evidenced by low RMSD values (~0.20–0.28 nm), reduced RMSF at catalytic loops (0.02–0.07 nm), consistent Rg (1.68–1.74 nm), and decreased SASA (175–185 nm²). According to these findings, glucosamine offers excellent structural stability, compactness, and preservation of active site integrity, highlighting its potential use as a biocompatible cross-linker. The study establishes an appropriate in silico framework for developing reliable immobilized laccase systems for industrial and environmental PET degradation applications.

References

Agu, P. C., Afiukwa, C. A., Orji, O. U., Ezeh, E. M., Ofoke, I. H., Ogbu, C. O., Ugwuja, E. I., & Aja, P. M. (2023). Molecular docking as a tool for the discovery of molecular targets of nutraceuticals in diseases management. Sci Rep, 13(1), 13398. https://doi.org/10.1038/s41598-023-40160-2

Ahmad, N., Dugad, S., Chauhan, V., Ahmed, S., Sharma, K., Kachhap, S., Zaidi, R., Bishai, W. R., Lamichhane, G., & Kumar, P. (2022). Allosteric cooperation in β-lactam binding to a non-classical transpeptidase. eLife, 11, e73055. https://doi.org/10.7554/eLife.73055

Al-Karmalawy, A. A., Dahab, M. A., Metwaly, A. M., Elhady, S. S., Elkaeed, E. B., Eissa, I. H., & Darwish, K. M. (2021). Molecular Docking and Dynamics Simulation Revealed the Potential Inhibitory Activity of ACEIs Against SARS-CoV-2 Targeting the hACE2 Receptor. Front Chem, 9, 661230. https://doi.org/10.3389/fchem.2021.661230

Bagewadi, Z., T.M, Y. K., Gangadharappa, B., Kamalapurkar, A., Shamsudeen, S., & Yaraguppi, D. (2023). Molecular Dynamics and Simulation Analysis against Superoxide Dismutase (SOD) Target of Micrococcus luteus with Secondary Metabolites from Bacillus licheniformis Recognized by Genome Mining Approach. Saudi Journal of Biological Sciences, 30, 103753. https://doi.org/10.1016/j.sjbs.2023.103753

Bertoft, E., Blennow, A., & Hamaker, B. R. (2024). Perspectives on Starch Structure, Function, and Synthesis in Relation to the Backbone Model of Amylopectin. Biomacromolecules, 25(9), 5389-5401. https://doi.org/10.1021/acs.biomac.4c00369

Biernat, M., Woźniak, A., Chraniuk, M., Panasiuk, M., Tymowicz-Grzyb, P., Pagacz, J., Antosik, A., Ciołek, L., Gromadzka, B., & Jaegermann, Z. (2023). Effect of Selected Crosslinking and Stabilization Methods on the Properties of Porous Chitosan Composites Dedicated for Medical Applications. Polymers (Basel), 15(11). https://doi.org/10.3390/polym15112507

Brissos, V., Borges, P. T., Sancho, F., Lucas, M. F., Frazão, C., Conzuelo, F., & Martins, L. O. (2024). Flexible active-site loops fine-tune substrate specificity of hyperthermophilic metallo-oxidases. J Biol Inorg Chem, 29(3), 339-351. https://doi.org/10.1007/s00775-023-02040-y

Chen, X., Zhu, X., Ning, F., Wang, S., & Zhao, Q. (2025). Effect of Transglutaminase-Mediated Cross-Linking on Physicochemical Properties and Structural Modifications of Rice Dreg Protein. Foods, 14(21). https://doi.org/10.3390/foods14213719

Christensen, N. J., & Kepp, K. P. (2013). Stability mechanisms of a thermophilic laccase probed by molecular dynamics. PLoS One, 8(4), e61985. https://doi.org/10.1371/journal.pone.0061985

Delanoy, G., Li, Q., & Yu, J. (2005). Activity and stability of laccase in conjugation with chitosan. International Journal of Biological Macromolecules, 35(1-2), 89-95. https://doi.org/10.1016/j.ijbiomac.2005.01.003

Ding, R., Xu, L., Shan, X., Qiu, X., Ding, L., Zhang, B., Liang, X., Zhu, L., & Guo, X. (2026). Enhanced degradation of microplastics by laccase under ambient conditions: Analysis of underlying molecular mechanisms. Journal of hazardous materials, 503, 141109. https://doi.org/https://doi.org/10.1016/j.jhazmat.2026.141109

Evode, N., Qamar, S. A., Bilal, M., Barceló, D., & Iqbal, H. M. N. (2021). Plastic waste and its management strategies for environmental sustainability. Case Studies in Chemical and Environmental Engineering, 4, 100142. https://doi.org/https://doi.org/10.1016/j.cscee.2021.100142

Gao, R., Pan, H., & Lian, J. (2021). Recent advances in the discovery, characterization, and engineering of poly(ethylene terephthalate) (PET) hydrolases. Enzyme and Microbial Technology, 150, 109868. https://doi.org/https://doi.org/10.1016/j.enzmictec.2021.109868

Hasan, M. M., Haque, R., Jahirul, M. I., & Rasul, M. G. (2025). Pyrolysis of plastic waste for sustainable energy Recovery: Technological advancements and environmental impacts. Energy Conversion and Management, 326, 119511. https://doi.org/https://doi.org/10.1016/j.enconman.2025.119511

Hess, B., Kutzner, C., van der Spoel, D., & Lindahl, E. (2008). GROMACS 4: Algorithms for Highly Efficient, Load-Balanced, and Scalable Molecular Simulation. J Chem Theory Comput, 4(3), 435-447. https://doi.org/10.1021/ct700301q

Hollingsworth, S. A., & Dror, R. O. (2018). Molecular Dynamics Simulation for All. Neuron, 99(6), 1129-1143. https://doi.org/https://doi.org/10.1016/j.neuron.2018.08.011

Jailani, N., Jaafar, N. R., Suhaimi, S., Mackeen, M. M., Bakar, F. D. A., & Illias, R. M. (2022). Cross-linked cyclodextrin glucanotransferase aggregates from Bacillus lehensis G1 for cyclodextrin production: Molecular modeling, developmental, physicochemical, kinetic and thermodynamic properties. International Journal of Biological Macromolecules, 213, 516-533. https://doi.org/https://doi.org/10.1016/j.ijbiomac.2022.05.170

Janusz, G., Skwarek, E., & Pawlik, A. (2023). Potential of Laccase as a Tool for Biodegradation of Wastewater Micropollutants. Water, 15(21), 3770.

Jayasekara, S. K., Joni, H. D., Jayantha, B., Dissanayake, L., Mandrell, C., Sinharage, M. M. S., Molitor, R., Jayasekara, T., Sivakumar, P., & Jayakody, L. N. (2023). Trends in in-silico guided engineering of efficient polyethylene terephthalate (PET) hydrolyzing enzymes to enable bio-recycling and upcycling of PET. Computational and Structural Biotechnology Journal, 21, 3513-3521. https://doi.org/https://doi.org/10.1016/j.csbj.2023.06.004

Kamaraj, B., & Purohit, R. (2013). In Silico Screening and Molecular Dynamics Simulation of Disease-Associated nsSNP in TYRP1 Gene and Its Structural Consequences in OCA3. BioMed Research International, 2013(1), 697051. https://doi.org/https://doi.org/10.1155/2013/697051

Khairul Anuar, N. F. S., Huyop, F., Ur-Rehman, G., Abdullah, F., Normi, Y. M., Sabullah, M. K., & Abdul Wahab, R. (2022). An Overview into Polyethylene Terephthalate (PET) Hydrolases and Efforts in Tailoring Enzymes for Improved Plastic Degradation. Int J Mol Sci, 23(20). https://doi.org/10.3390/ijms232012644

Khalik, W., Ibrahim, Y. S., Tuan Anuar, S., Govindasamy, S., & Baharuddin, N. F. (2018). Microplastics analysis in Malaysian marine waters: A field study of Kuala Nerus and Kuantan. Mar Pollut Bull, 135, 451-457. https://doi.org/10.1016/j.marpolbul.2018.07.052

Kibria, M. G., Masuk, N. I., Safayet, R., Nguyen, H. Q., & Mourshed, M. (2023). Plastic Waste: Challenges and Opportunities to Mitigate Pollution and Effective Management. International Journal of Environmental Research, 17(1), 20. https://doi.org/10.1007/s41742-023-00507-z

Kim, S., Chen, J., Cheng, T., Gindulyte, A., He, J., He, S., Li, Q., Shoemaker, B. A., Thiessen, P. A., Yu, B., Zaslavsky, L., Zhang, J., & Bolton, E. E. (2023). PubChem 2023 update. Nucleic Acids Research, 51(D1), D1373-D1380. https://doi.org/10.1093/nar/gkac956

Konstantinidou, M., Visser, E. J., Vandenboorn, E., Chen, S., Jaishankar, P., Overmans, M., Dutta, S., Neitz, R. J., Renslo, A. R., Ottmann, C., Brunsveld, L., & Arkin, M. R. (2023). Structure-based optimization of covalent, small-molecule stabilizers of the 14-3-3σ/ERα protein-protein interaction from nonselective fragments. Journal of the American Chemical Society, 145(37), 20328-20343. https://doi.org/10.1021/jacs.3c05161

Krainer, F. W., & Glieder, A. (2015). An updated view on horseradish peroxidases: recombinant production and biotechnological applications. Appl Microbiol Biotechnol, 99(4), 1611-1625. https://doi.org/10.1007/s00253-014-6346-7

Kumar, A., Bharadwaj, T., Muthuraj, L., Kumar, J., Kumar, P., Lalitha, R., Sigamani, G., Ahmad, S., Bhanu, P., Pathak, R. K., Uttarkar, A., Niranjan, V., & Mishra, V. (2025). Molecular dynamics simulation and docking studies reveals inhibition of NF-kB signaling as a promising therapeutic drug target for reduction in cytokines storms. Scientific Reports, 15(1), 15225. https://doi.org/10.1038/s41598-024-78411-5

Laskowski, R. A., & Swindells, M. B. (2011). LigPlot+: multiple ligand-protein interaction diagrams for drug discovery. J Chem Inf Model, 51(10), 2778-2786. https://doi.org/10.1021/ci200227u

Le, S. P., Krishna, J., Gupta, P., Dutta, R., Li, S., Chen, J., & Thayumanavan, S. (2024). Polymers for Disrupting Protein-Protein Interactions: Where Are We and Where Should We Be? Biomacromolecules, 25(10), 6229-6249. https://doi.org/10.1021/acs.biomac.4c00850

Li, J., Jiang, Z., Wu, H., Liang, Y., Zhang, Y., & Liu, J. (2010). Enzyme–polysaccharide interaction and its influence on enzyme activity and stability. Carbohydrate Polymers, 82, 160-166. https://doi.org/10.1016/j.carbpol.2010.04.045

Liu, C., Shi, C., Zhu, S., Wei, R., & Yin, C. C. (2019). Structural and functional characterization of polyethylene terephthalate hydrolase from Ideonella sakaiensis. Biochem Biophys Res Commun, 508(1), 289-294. https://doi.org/10.1016/j.bbrc.2018.11.148

Lobanov, M. Y., Bogatyreva, N. S., & Galzitskaya, O. V. (2008). Radius of gyration as an indicator of protein structure compactness. Molecular Biology, 42, 623-628.

Ma, X., Cao, X., Ma, Z., Zhu, J., Yang, L., Xiao, M., & Jiang, X. (2025). Molecular Dynamics Simulation Reveals the Mechanism of Substrate Recognition by Lignin-Degrading Enzymes. Int J Mol Sci, 26(19). https://doi.org/10.3390/ijms26199378

Majewski, M., Ruiz-Carmona, S., & Barril, X. (2019). An investigation of structural stability in protein-ligand complexes reveals the balance between order and disorder. Communications Chemistry, 2(1), 110. https://doi.org/10.1038/s42004-019-0205-5

Patel, S. K., Kalia, V. C., Choi, J. H., Haw, J. R., Kim, I. W., & Lee, J. K. (2014). Immobilization of laccase on SiO₂ nanocarriers improves its stability and reusability. J Microbiol Biotechnol, 24(5), 639-647. https://doi.org/10.4014/jmb.1401.01025

Prabhakar, T., Giaretta, J., Zulli, R., Rath, R. J., Farajikhah, S., Talebian, S., & Dehghani, F. (2025). Covalent immobilization: A review from an enzyme perspective. Chemical Engineering Journal, 503, 158054. https://doi.org/https://doi.org/10.1016/j.cej.2024.158054

Raoufi, H., Taqwa, S., & Fagiryaar, F. (2023). Enzymatic Degradation of Polyethylene and Polyethylene Terephthalate: A Mini Review. American Journal of Environment and Climate, 2, 41-50. https://doi.org/10.54536/ajec.v2i3.1937

Rosignoli, S., & Paiardini, A. (2022). Boosting the Full Potential of PyMOL with Structural Biology Plugins. Biomolecules, 12(12). https://doi.org/10.3390/biom12121764

Shen, Y., Qi, Y., Li, L., Gui, H., Gao, T., Liu, L., Li, B., Zhao, J., Prinyawiwatkul, W., & Xu, Z. (2025). Structural interactions and mechanisms of amylose and amylopectin binding with cyanidin-3-O-glucoside. Int J Biol Macromol, 306(Pt 3), 141766. https://doi.org/10.1016/j.ijbiomac.2025.141766

Sinha, S., Tam, B., & Wang, S. M. (2022). Applications of Molecular Dynamics Simulation in Protein Study. Membranes, 12(9), 844. https://www.mdpi.com/2077-0375/12/9/844

Soong, Y. V., Sobkowicz, M. J., & Xie, D. (2022). Recent Advances in Biological Recycling of Polyethylene Terephthalate (PET) Plastic Wastes. Bioengineering (Basel), 9(3). https://doi.org/10.3390/bioengineering9030098

Srivastava, A., Nagar, P., Rathore, S., & Adlakha, N. (2022). The Linker Region Promotes Activity and Binding Efficiency of Modular LPMO towards Polymeric Substrate. Microbiol Spectr, 10(1), e0269721. https://doi.org/10.1128/spectrum.02697-21

Szymańska, E., & Winnicka, K. (2015). Stability of chitosan-a challenge for pharmaceutical and biomedical applications. Mar Drugs, 13(4), 1819-1846. https://doi.org/10.3390/md13041819

Trott, O., & Olson, A. J. (2010). AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading. J Comput Chem, 31(2), 455-461. https://doi.org/10.1002/jcc.21334

Udoetok, I. A., Karoyo, A. H., Mohamed, M. H., & Wilson, L. D. (2024). Chitosan Biocomposites with Variable Cross-Linking and Copper-Doping for Enhanced Phosphate Removal. Molecules, 29(2). https://doi.org/10.3390/molecules29020445

Wan, Q., & Thompson, B. C. (2024). Control of Properties through Hydrogen Bonding Interactions in Conjugated Polymers. Advanced Science, 11(8), 2305356. https://doi.org/https://doi.org/10.1002/advs.202305356

Wegrzynowska-Drzymalska, K., Grebicka, P., Mlynarczyk, D. T., Chelminiak-Dudkiewicz, D., Kaczmarek, H., Goslinski, T., & Ziegler-Borowska, M. (2020). Crosslinking of Chitosan with Dialdehyde Chitosan as a New Approach for Biomedical Applications. Materials (Basel), 13(15). https://doi.org/10.3390/ma13153413

Yip, Y. S., Jaafar, N. R., Rahman, R. A., Puspaningsih, N. N. T., Jailani, N., & Illias, R. M. (2024). Improvement of combined cross-linked enzyme aggregates of cyclodextrin glucanotransferase and maltogenic amylase by functionalization of cross-linker for maltooligosaccharides synthesis. International Journal of Biological Macromolecules, 273, 133241. https://doi.org/https://doi.org/10.1016/j.ijbiomac.2024.133241

Zhang, Y., Plesner, T. J., Ouyang, Y., Zheng, Y.-C., Bouhier, E., Berentzen, E. I., Zhang, M., Zhou, P., Zimmermann, W., Andersen, G. R., Eser, B. E., & Guo, Z. (2023). Computer-aided discovery of a novel thermophilic laccase for low-density polyethylene degradation. Journal of hazardous materials, 458, 131986. https://doi.org/https://doi.org/10.1016/j.jhazmat.2023.131986

Zhou, S., Liu, Y., Wang, S., & Wang, L. (2022). Effective prediction of short hydrogen bonds in proteins via machine learning method. Scientific Reports, 12(1), 469. https://doi.org/10.1038/s41598-021-04306-4

Zovo, K., Pupart, H., Van Wieren, A., Gillilan, R. E., Huang, Q., Majumdar, S., & Lukk, T. (2022). Substitution of the methionine axial ligand of the T1 copper for the fungal-like phenylalanine ligand (M298F) causes local structural perturbations that lead to thermal instability and reduced catalytic efficiency of the small laccase from Streptomyces coelicolor A3(2). ACS Omega, 7(7), 6184-6194. https://doi.org/10.1021/acsomega.1c06668

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2026-06-25

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