Work

Prospective identification of extracellular triacylglycerol hydrolase with conserved amino acids in Amycolatopsis tolypomycina’s high G+C genomic dataset

Year: 2024

Type: article

Abstract: . Utilizing knowledge from genome and machine learning algorithms, prospective ETH genes/enzymes were identified. Notably, the ETH structural conserved accessibility to solvent clearly indicated the specific sixteen residues (GLY50, PRO93, GLY141, ASP148, GLY151, ASP172, ALA176, GLY195, TYR196, SER197, GLN198, GLY199, GLY200, GLY225, PRO327, ASP336) with no frequency. By pinpointing key residues and understanding their role, this study sets the stage for enhancing ETH performance through computational proteogenomic and contributes to the broader field of enzyme engineering, facilitating the development of more efficient and versatile ETH enzymes tailored to specific industrial or environmental contexts.

Source: Biotechnology Reports

DOI: 10.1016/j.btre.2024.e00869

Authors: Supajit Sraphet, Bagher Javadi

Institutions: Mahidol University, Suan Sunandha Rajabhat University

Language: English

Topic: Enzyme Catalysis and Immobilization

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: gold

Estimated APC paid: $3,070

Funders: Mahidol University, Suan Sunandha Rajabhat University