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Proteins are macromolecules that consist of linear-bonded amino acids. They are essential elements in various metabolic processes. The three-dimensional structure of a protein is determined by the order of amino acids, also referred to as the protein sequence. This conformation corresponds to the structural state in which the protein is functionally active. However, relationships between protein sequence, structure and function have not been fully understood yet. Additionally, information about structural properties or even the entire protein structure are crucial for understanding the dynamics that define protein functionality and mechanisms. From this, the role of a protein in its molecular context can be described closely. For instance, interactions can be investigated and comprehended as a biological dynamic network that is sensitive to alternations, i.e. changes which are caused by diseases. Such knowledge can aid in drug design, whereas compounds need to be specifically tailored and adjusted to their molecular targets. Protein energy profile-basedmethods can be applied to investigate protein structures concerning dynamics and alternations. The publications enclosed to this work discuss in general the scientific potentials of energy profilebased techniques and algorithms. On the one hand, changes in stability caused by protein mutations and proteinligand interactions are discussed in the context of energy profiles. On the other hand, energetic relations to protein sequence, structure and function are elucidated in detail. Finally, the presented discussions focus on recent enhancements of the eProS (energy profile suite) database and toolbox. eProS freely provides all elucidated methodologies to the scientific community. Thus, one can address biological questions with the presented methods at hand. Additionally, eProS provides annotations related to foreign databases. This ensures a broad view on biological data and information. In particular, energetic characteristics can be identified which contribute to a protein’s structure and function.
Ziel der Bachelorarbeit ist es, die chemischen Verschiebungen statistisch auszuwerten und die Parameter der individuellen Statistik für die mögliche Zuordnung der Signale von RNA Molekülen zu verwenden, die noch strukturell unaufgeklärt sind. Parallel dazu wird versucht diese Informationen zu nutzen, um die jeweilige Sekundärstruktur einzelner RNA Abschnitte zu bestimmen. Anhand einer unbekannten RNA soll die aufgestellte Statistik ausgewertet und überprüft werden. In späteren Projekten ist geplant auf der Grundlage dieser Statistik eine neuartige Zuordnungsstrategie zu entwickeln und in einen Algorithmus und somit in eine Software umzusetzen.