Home
People
Papers
Software

For students (in Slovak):
Študijný program
Uplatnenie
Predmety
Seminár
Témy prác

Members of:
Bratislava Biocenter

Funding

Andrej Balaz, Michal Kajsik, Jaroslav Budis, Tomas Szemes, Jan Turna. PHERI-Phage Host ExploRation Pipeline. Microorganisms, 11(6):1398. 2023.

Download preprint: not available

Download from publisher: https://dx.doi.org/10.3390/microorganisms11061398

Related web page: not available

Bibliography entry: BibTeX

Abstract: 

Antibiotic resistance is becoming a common problem in medicine, food, and 
industry, with multidrug-resistant bacterial strains occurring in all regions. One of the possible future solutions is the use of bacteriophages. Phages are the most abundant form of life in the biosphere, so we can highly likely purify a specific phage against each target bacterium. The identification and consistent characterization of individual phages was a common form of phage work and included determining bacteriophages' host-specificity. With the advent of new modern sequencing methods, there was a problem with the detailed characterization of phages in the environment identified by metagenome analysis. The solution to this problem may be to use a bioinformatic approach in the form of prediction software capable of determining a bacterial host based on the phage whole-genome sequence. The result of our research is the machine learning algorithm-based tool called PHERI. PHERI predicts the suitable bacterial host genus for the purification of individual viruses from different samples. In addition, it can identify and highlight protein sequences that are important for host selection.