Catabolic profiling of selective enzymes in the saccharification of non-food lignocellulose parts of biomass into functional edible sugars and bioenergy: An in silico bioprospecting

• Published in: Journal of advanced veterinary and animal research 2022-03, Vol.9 (1), p.19-32
• Main Authors: Paul, Parag Kumar, Al Azad, Salauddin, Rahman, Mohammad Habibur, Farjana, Mithila, Uddin, Muhammad Ramiz, Dey, Dipta, Mahmud, Shafi, Ema, Tanzila Ismail, Biswas, Partha, Anjum, Maliha, Akhi, Ozifatun Jannat, Ahmed, Shahlaa Zernaz
• Format: Article
• Language: English
• Subjects: Agricultural wastes; Algorithms; Alternative energy sources; Bioconversion; Biodegradation; Biodiesel fuels; Biofuels; Biomass; Bioprospecting; catabolic profiling; enzymatic hydrolysis; lignocellulose biomass; saccharification; functional edible sugars; biofuel; molecular dynamic simulation; Catalysis; Catalytic activity; Cellulase; Cellulose; Data mining; Endoglucanase; Energy; Energy levels; Energy resources; Enzymatic activity; Enzyme activity; Enzymes; Fermentation; Food; Food sources; Glucose; Hemicellulose; Hunger; Hydrogen bonding; Hydrogen bonds; Hydrophobicity; Lignin; Lignin peroxidase; Lignocellulose; Manganese; Manganese peroxidase; Melanocarpus albomyces; Molecular dynamics; Optimization; Original; Population; Renewable energy; Renewable resources; Simulation; Software; Substrates; Sugar; Surface area; Wastes
• ISSN: 2311-7710; 2311-7710
• DOI: 10.5455/javar.2022.i565

The research aims to analyze the catabolic strength of different hydrolytic enzymes in assessing the biological conversion potential of lignocellulose parts of agricultural biomass wastes into functional edible sugars and biofuels. The enzymes' hydrolytic properties-versatile peroxidase, manganese peroxidase, and lignin peroxidase were used to identify their complexing strength with the lignin substrate, whereas endoglucanase cel12A, acidocaldarius cellulase, and Melanocarpus albomyces endoglucanase were tested on the cellulose gel substrate. Because the biodegradation properties are heavily influenced by the "enzyme-substrate complexing energy level," proper molecular optimization and energy minimization of the enzymes and substrates were carried out, as well as the identification of the enzyme's active sites prior to complexing.comprehensive molecular dynamic simulation was run to study their-alpha carbon, root-mean-square deviation ( ), molecular surface area ( ), root-mean-square fluctuation ( ), radius of gyration (nm), hydrogen bonds with hydrophobic interactions, and solvent accessible surface area ( ) values for 50 ns. The simulated data mining was conducted using advanced programming algorithms to establish the final enzyme-substrate complexing strength in binding and catalysis. Among the lignin-degrading enzymes, versatile peroxidase shows promising catalytic activity with the best docking pose and significant values in all the dynamic simulation parameters. Similarly, Melanocarpus albomyces endoglucanase shows the best activity in all aspects of molecular docking and dynamics among the cellulose-degrading enzymes. The lignin content of biomass wastes can be degraded into cellulose and hemicellulose using lignin-degrading enzymes. The cellulose can be further degraded into glucose and xylose sugars following the cellulose-degrading enzyme activity. These sugars can be further degraded into biofuel through anaerobic fermentation. Systematic bioconversion of the lignocellulosic components can ensure sustainable biomass management, creating an alternative food and energy source for human beings to face the challenges of global hunger where the enzymes can pave the way.