Thesis Details
Vyhledávání příbuzných enzymů
Millions of new proteins discovered each year cannot be characterized by classical biochemical methods due to their demands of time and cost. Among the unexplored proteins, there may be enzymes useful in both industry and academy, mostly for ecological production of chemical compounds. The result of the thesis is a web application which, based on the input proteins, searches the database for similar proteins. The proteins are filtered using essential residues of the input proteins and marked as putative biocatalysts. Finally, the proteins are annotated so that the user can make an informed decision about which proteins to select for experimental laboratory verification. The developed tool facilitates multi-step analysis and recommends proteins for experimental verification of their enzymatic function. The web interface is freely available at https://loschmidt.chemi.muni.cz/enzymeminer/. The tool was published in the international journal Nucleic Acids Research.
enzyme mining, novel biocatalysts, related protein identification, protein function prediction, catalytic function verification, catalytic residues, essential residues, bioinformatics, haloalkane dehalogenase
Beran Vítězslav, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Holík Lukáš, doc. Mgr., Ph.D. (DITS FIT BUT), člen
Jaroš Jiří, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Křivka Zbyněk, Ing., Ph.D. (DIFS FIT BUT), člen
@bachelorsthesis{FITBT22863, author = "Simeon Borko", type = "Bachelor's thesis", title = "Vyhled\'{a}v\'{a}n\'{i} p\v{r}\'{i}buzn\'{y}ch enzym\r{u}", school = "Brno University of Technology, Faculty of Information Technology", year = 2020, location = "Brno, CZ", language = "slovak", url = "https://www.fit.vut.cz/study/thesis/22863/" }