Thesis Details

Fully Automated Method for the Design of Ancestral Proteins

Master's Thesis Student: Štěpánek Martin Academic Year: 2021/2022 Supervisor: Musil Miloš, Ing., Ph.D.
Czech title
Nástroj pro automatizovaný návrh ancestrálních proteinů
Language
English
Abstract

Protein stability is a crucial feature for the industrial applications of proteins. This thesis focuses on the enhancements of FireProtASR, an automated tool for the design of stable proteins via ancestral sequence reconstruction. A novel technique of the successor prediction was developed and implemented into FireProtASR. Successors represent the evolutionary future of protein sequences and are supposed to have higher activity than current day proteins. They are also expected to have higher ability to target specific molecules. Furthermore, a new web user interface of FireProtASR was developed. It provides a fast and intuitive way to control the tool.

Keywords

protein engineering, protein stability, stability prediction, ancestral sequence reconstruction, successors

Department
Degree Programme
Files
Status
defended, grade A
Date
21 June 2022
Reviewer
Committee
Sekanina Lukáš, prof. Ing., Ph.D. (DCSY FIT BUT), předseda
Bidlo Michal, Ing., Ph.D. (DCSY FIT BUT), člen
Burgetová Ivana, Ing., Ph.D. (DIFS FIT BUT), člen
Lengál Ondřej, Ing., Ph.D. (DITS FIT BUT), člen
Matoušek Radomil, doc. Ing., Ph.D. (IACS FME BUT), člen
Vašíček Zdeněk, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Citation
ŠTĚPÁNEK, Martin. Fully Automated Method for the Design of Ancestral Proteins. Brno, 2022. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2022-06-21. Supervised by Musil Miloš. Available from: https://www.fit.vut.cz/study/thesis/24649/
BibTeX
@mastersthesis{FITMT24649,
    author = "Martin \v{S}t\v{e}p\'{a}nek",
    type = "Master's thesis",
    title = "Fully Automated Method for the Design of Ancestral Proteins",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2022,
    location = "Brno, CZ",
    language = "english",
    url = "https://www.fit.vut.cz/study/thesis/24649/"
}
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