PROTEIN INTERACTION STUDIES OF CROSS-LINKED ENDOLEVANASE AGGREGATES FROM BACILLUS LEHENSIS G1

Hotaf Hassan Makki; Nardiah Rizwana Jaafar; Roshanida A. Rahman; Zaidah Rahmat; Ni Nyoman Tri Puspaningsih; Rosli Md. Illias

doi:10.11113/jurnalteknologi.v86.20888

Authors

Hotaf Hassan Makki Faculty of Science, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
Nardiah Rizwana Jaafar Faculty of Chemical and Energy Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
Roshanida A. Rahman Faculty of Chemical and Energy Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
Zaidah Rahmat Faculty of Science, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
Ni Nyoman Tri Puspaningsih Laboratory of Proteomics, University-CoE Research Center for Bio-Molecule Engineering, Universitas Airlangga, Kampus C-UNAIR, Surabaya, East Java, Indonesia
Rosli Md. Illias Faculty of Chemical and Energy Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia

DOI:

https://doi.org/10.11113/jurnalteknologi.v86.20888

Keywords:

Endolevanase, enzyme immobilization, cross-linked enzyme aggregates, macromolecular cross-linkers, computational analysis

Abstract

The efficiency of cross-linked enzyme aggregates (CLEAs) is mainly affected by the strength and binding site of the formed linkages between the enzyme and cross-linker. Therefore, this study investigated the impact of different macromolecular cross-linkers on various functional groups, their binding energy, and intermolecular interaction in generating CLEAs of endolevanase from Bacillus lehensis G1 (rlevblg1), through the combination of computational and experimental analysis. Due to the distanced bonding of dextran from the active site, rlevblg1 cross-linked with dextran (rlevblg1-dex-CLEAs) exhibited the highest binding affinity (− 7.1 kcal/mol) and activity recovery compared to six other cross-linkers. Thus, the role of computational cross-linker screening is confirmed as a crucial step to predict strong attachment and construct efficient CLEAs.

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