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Computational Modelling and Molecular Docking of Industrial Leather Enzymes

Suneetha V and NIKITA SHARMA

Published in Springer nature
Volume: 65
Issue: 3
Pages: 5 - 15

Sharma, N., Vuppu, S. Computational Modelling and Molecular Docking of Industrial Leather Enzymes. Mol Biotechnol (2023). https://doi.org/10.1007/s12033-023-00689-zAbstract

Leather is one of the widely traded commodities globally. It is a strategically important sector for the economic and industrial development of the country. However, the leather industry is perceived as a highly polluting industry. It produces huge amounts of solid and liquid wastes, and if these wastes are not properly treated and disposed of, then it tends to deteriorate the quality of soil and water, as well as cause emanations of smell and noxious gases into the surrounding. The current paper provides information about industrial leather enzymes, primarily collagenase, tannase, and lecithinase. In this study, enzymes such as collagenase, tannase, and lecithinase had a pivotal role in leather industries and their action in the bioremediation of leather effluents was further analysed and docked with a diverse range of compounds (ligands), with an optimal binding affinity score was determined. All interactions between protein ligands were depicted, which will help us with future research. Furthermore, this method can be tested practically, and other parameters can be studied in the future. Further, applications of enzymes and their hydrolyse by-products have also been highlighted in a variety of industries, including the pharmaceutical, cosmetic, agricultural, medical, and food sectors. Subsequently, this finding provides an innovative and broader goal for various sectors in terms of sustainability, stabilisation, and identifying research gaps that can guide modern industries and research scientists.

About the journal
PublisherSpringer nature
ISSN15590305, 10736085
Open AccessYes