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Data mining for important amino acid residues in multiple sequence alignments and protein structures

Janda, Jan-Oliver (2014) Data mining for important amino acid residues in multiple sequence alignments and protein structures. PhD, Universität Regensburg.

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Date of publication of this fulltext: 13 May 2014 17:50

Abstract (English)

Enzymes are highly efficient bio-catalysts interesting for industries and medicine. Therefore, a goal of utmost importance in biochemical research is to understand how an enzyme catalyzes a chemical reaction. Here, the computational identification of functionally or structurally important residue positions can be of tremendous help. The datasets that are most informative for the algorithms are ...


Translation of the abstract (German)

Enzyme sind hocheffiziente Biokatalysatoren, die sowohl für industrielle als auch für medizinische Anwendungen höchst interessant sind. Deshalb ist es eines der wichtigsten Ziele biochemischer Forschung zu verstehen wie Enzyme chemische Reaktion katalysieren. Dafür ist eine computergestützte Identifikation von funktionell oder strukturell wichtigen Aminosäuren von außerordentlicher Hilfe. Die ...


Export bibliographical data

Item type:Thesis of the University of Regensburg (PhD)
Date:13 May 2014
Referee:Prof. Dr. Rainer Merkl
Date of exam:29 April 2014
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Rainer Merkl
Keywords:computational biology, correlated mutations, covariation, classification
Dewey Decimal Classification:500 Science > 570 Life sciences
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Item ID:29907
Owner only: item control page


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