Prediction of Antibody Developability Index from Protein Sequence using Machine Learning

Brázdilová, Květa

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Theses tjpw35

Prediction of Antibody Developability Index from Protein Sequence using Machine Learning – Bc. Květa Brázdilová

Bc. Květa Brázdilová

Master's thesis

Prediction of Antibody Developability Index from Protein Sequence using Machine Learning

Predikce developability indexu protilátek z proteinové sekvence pomocí strojového učení

Language used: English

Date on which the thesis was submitted / produced: 2022

Thesis defence

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ISO 690-compliant citation record:

BRÁZDILOVÁ, Květa. \textit{Prediction of Antibody Developability Index from Protein Sequence using Machine Learning}. Online. Master's thesis. Praha: University of Chemistry and Technology Prague, Faculty of Chemical Technology. 2022. Available from: https://theses.cz/id/tjpw35/.

@MastersThesis{Brazdilova2022thesis,
AUTHOR = "Brázdilová, Květa",
TITLE = "Prediction of Antibody Developability Index from Protein Sequence using Machine Learning [online]",
YEAR = "2022 [cit. 2024-11-14]",
TYPE = "Master's thesis",
SCHOOL = "University of Chemistry and Technology Prague, Faculty of Chemical TechnologyPraha",
NOTE = "SUPERVISOR: ",
URL = "https://theses.cz/id/tjpw35/",
}

@MastersThesis{Brazdilova2022thesis,
AUTHOR = {Brázdilová, Květa},
TITLE = {Prediction of Antibody Developability Index from Protein Sequence using Machine Learning},
YEAR = {2022},
TYPE = {Master's thesis},
INSTITUTION = {University of Chemistry and Technology Prague, Faculty of Chemical Technology},
LOCATION = {Praha},
SUPERVISOR = {},
URL = {https://theses.cz/id/tjpw35/},
URL_DATE = {2024-11-14},
}

{{Citace kvalifikační práce
 | příjmení = Brázdilová
 | jméno = Květa
 | instituce = University of Chemistry and Technology Prague, Faculty of Chemical Technology
 | titul = Prediction of Antibody Developability Index from Protein Sequence using Machine Learning
 | url = https://theses.cz/id/tjpw35/
 | typ práce = Master's thesis
 | vedoucí = 
 | rok = 2022
 | počet stran =
 | strany =
 | citace = 2024-11-14
 | poznámka =
 | jazyk = 
}}

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University of Chemistry and Technology in Prague

Faculty of Chemical Technology

Master programme:
Bioinformatics and Chemical Informatics

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