The recent application of models from inverse statistical mechanics to protein sequence data in has been a large success. In my thesis, I will build upon these models but also use them beyond their original aim of residue contact prediction. This includes the improvement of contact prediction itself by extending the models, the application of the methods in the wider scope of protein interaction networks and the prediction of further biological characteristics from the extracted information.

The Statistical Mechanics Approach to Protein Sequence Data: Beyond Contact Prediction / Feinauer, Christoph. - (2016). [10.6092/polito/porto/2640930]

The Statistical Mechanics Approach to Protein Sequence Data: Beyond Contact Prediction

FEINAUER, CHRISTOPH
2016

Abstract

The recent application of models from inverse statistical mechanics to protein sequence data in has been a large success. In my thesis, I will build upon these models but also use them beyond their original aim of residue contact prediction. This includes the improvement of contact prediction itself by extending the models, the application of the methods in the wider scope of protein interaction networks and the prediction of further biological characteristics from the extracted information.
2016
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Descrizione: Doctoral Thesis, Christoph Feinauer
Tipologia: Tesi di dottorato
Licenza: Creative commons
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2640930
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