{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Okereke OE"],"funding":["Department of Biotechnology, Ministry of Science and Technology, India"],"pagination":["e0070423"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10537656"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["89(9)"],"pubmed_abstract":["The enzymatic conversion of lignocellulosic biomass to bioethanol depends on efficient enzyme systems with β-glucosidase as one of the key components. In this study, we performed in-depth profiling of the various β-glucosidases present in the genome of the hypercellulolytic fungus <i>Penicillium funiculosum</i> using genomics, transcriptomics, proteomics, and molecular dynamics simulation approaches. Of the eight β-glucosidase genes identified in the <i>P. funiculosum</i> genome, three were predicted to be extracellular based on signal peptide prediction and abundance in the secretome. Among the three secreted β-glucosidases, two belonged to the GH3 family and one belonged to the GH1 family. Homology models of these proteins predicted a deep and narrow active site for the GH3 β-glucosidase"],"journal":["Applied and environmental microbiology"],"pubmed_title":["Profiling of the β-glucosidases identified in the genome of <i>Penicillium funiculosum</i>: insights from genomics, transcriptomics, proteomics, and homology-modeling studies."],"pmcid":["PMC10537656"],"funding_grant_id":["BT/PR/Centre/03/2011-Phase II"],"pubmed_authors":["Sinha T","Kapoor S","Sharma K","Okereke OE","Gupta M","Ogunyewo OA","Yazdani SS"],"additional_accession":[]},"is_claimable":false,"name":"Profiling of the β-glucosidases identified in the genome of <i>Penicillium funiculosum</i>: insights from genomics, transcriptomics, proteomics, and homology-modeling studies.","description":"The enzymatic conversion of lignocellulosic biomass to bioethanol depends on efficient enzyme systems with β-glucosidase as one of the key components. In this study, we performed in-depth profiling of the various β-glucosidases present in the genome of the hypercellulolytic fungus <i>Penicillium funiculosum</i> using genomics, transcriptomics, proteomics, and molecular dynamics simulation approaches. Of the eight β-glucosidase genes identified in the <i>P. funiculosum</i> genome, three were predicted to be extracellular based on signal peptide prediction and abundance in the secretome. Among the three secreted β-glucosidases, two belonged to the GH3 family and one belonged to the GH1 family. Homology models of these proteins predicted a deep and narrow active site for the GH3 β-glucosidase","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Sep","modification":"2026-05-29T00:53:23.252Z","creation":"2024-11-06T22:16:29.003Z"},"accession":"S-EPMC10537656","cross_references":{"pubmed":["37610233"],"doi":["10.1128/aem.00704-23"]}}