ISSN 2410-7751 (Print)
ISSN 2410-776X (Online)

Biotechnologia Acta V. 18, No. 6, 2025
P. 66-71, Bibliography  5, Engl.
UDC:  57.08:577.1:577.152.3:579.66:544.723:628.5/.6
doi:

Full text: (PDF, in English)

THE APPLICATION OF BIOINFORMATIC METHODS FOR THE ANALYSIS OF PROTEIN TARGETS OF MICROORGANISMS PRODUCING  BIOSURFACTANTS

Ye.B. Yanvarov¹, V.V. Havryliak¹, H.V. Melnik ^2, V.O. Stepanenko ²

¹ Department of Technology of Biologically Active Substances, Pharmacy and Biotechnology,
Lviv Polytechnic National University, Ukraine
² Department of Biosafety and Human Health, National Technical University of Ukraine
“Igor Sikorsky Kyiv Polytechnic Institute”

Aim. The objective of this study is to identify key protein targets involved in the metabolism, regulation, 
and transport of biosurfactants. Target selection was based on a comprehensive analysis of biological databases and scientific literature. The identified proteins are essential for biosurfactant biosynthesis and will serve as the foundation for subsequent investigations using reverse molecular docking.

Methods. Protein targets were identified through open-access biological databases, including RCSB PDB and UniProt, with a focus on microorganisms recognized as biosurfactant producers. Relevant literature was analyzed to validate the functional roles of specific proteins in biosurfactant metabolism. Selection criteria encompassed proteins directly involved in enzymatic synthesis, transport pathways, and gene expression regulation associated with biosurfactant production. 

Results. Eight protein targets were identified as being associated with biosurfactant synthesis. Functional annotation and literature validation confirmed their relevance to microbial biosurfactant metabolism. 

Conclusion. These findings provide a solid basis for further research, including computational modeling and experimental validation, to clarify the roles of the identified proteins in biosurfactant production. The study underscores the importance of integrating electronic databases with literature analysis to identify potential biomolecular targets for future biotechnological applications.

Keywords: biosurfactants, databases, protein targets, molecular docking, microbial metabolism.

© Palladin Institute of Biochemistry of the National Academy of Sciences of Ukraine, 2025