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Computationally modeling interactions and dynamics to promote the understanding of protein function

Löffler, Patrick (2017) Computationally modeling interactions and dynamics to promote the understanding of protein function. PhD, Universität Regensburg.

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Date of publication of this fulltext: 01 Aug 2017 05:43

Abstract (English)

Understanding the structural and functional properties of molecular interactions on atomic-level is fundamental to elucidate biochemical phenomena such as protein interactions, protein-ligand binding, and enzymatic activities. For this purpose, molecular modeling provides a powerful toolkit allowing the observation of molecular interactions in silico through an approximation of the physics of ...

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Translation of the abstract (German)

Das Verständnis der strukturellen und funktionellen Eigenschaften molekularer Wechselwirkungen auf atomarer Ebene ist von grundlegender Bedeutung für die Aufklärung biochemischer Phänomene, wie beispielsweise Protein-Wechselwirkungen, Protein-Ligand-Bindung und enzymatischer Aktivität. Zu diesem Zweck ist die molekulare Modellierung ein leistungsfähiges Werkzeug, das die Beobachtung von ...

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Export bibliographical data



Item type:Thesis of the University of Regensburg (PhD)
Date:1 August 2017
Referee:Prof. Dr. Rainer Merkl and Prof. Dr. Wolfram Gronwald
Date of exam:22 May 2017
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie
Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Rainer Merkl
Keywords:Proteins, Molecular modeling, Protein design, Rosetta, Multi-state design, Enzyme design, Multi-state enzyme design, Computational protein design
Dewey Decimal Classification:500 Science > 500 Natural sciences & mathematics
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Item ID:35699
Owner only: item control page

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