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Value-Addition in Agri-food Industry Waste Through Enzyme Technology
2023, 65-78

In silico approaches for the quest of the novel enzymes

Gaurav Chetal, Madan L. Verma

Department of Biotechnology, School of Basic Sciences, Indian Institute of Information Technology Una, Una, Himachal Pradesh, India.

Abstract

Enzymes hold a great importance in various industries and perform a plethora of applications ranging from food to bioenergy sectors. Enzymes act as the biocatalysts in various biotechnological processes. The in-silico approaches have advanced in the recent times leading to the prediction of novel enzymes. These uncharacterized novel enzymes are being helpful in the understanding of various unsolved metabolic processes and provide a deeper cognizance in the use of these novel enzymes in various industries. There exist various databases and in-silico techniques such as multiple sequence alignment, molecular dynamic simulation, molecular docking, and Genome-scale modeling for the prediction of novel enzymes. These techniques and databases work in coalescence for the quest for novel enzymes and further help in developing newer approaches and algorithms for the discovery of the robust enzymes of the potential applications. The present chapter discusses the recent strategies used in computational searching of gene/protein databases to find novel enzymes.

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