On Mining Protein Unfolding Simulation Data with Inductive Logic Programming

• Type: Article in International Conference Proceedings Book
• Date: 2009

Authors

Rui Camacho (Author) FEUP; Alves, A (Author) Other; Silva, CG (Author) Other; Brito, RMM (Author) Other

Conference proceedings International

Title: ADVANCES IN SOFT COMPUTING

Pages: 175-179

2nd International Workshop on Practical Applications of Computational Biology and Bioinformatics (IWPACBB 08)

Salamanca, SPAIN, OCT 22-24, 2008

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ISI Web of Knowledge - 1 Citation

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Other information

Authenticus ID: P-003-SZP

DOI: 10.1007/978-3-540-85861-4_21

Abstract (EN): The detailed study of folding and unfolding events in proteins is becoming central to develop rational therapeutic strategies against maladies such as Alzheimer and Parkinson disease. A promising approach to study the unfolding processes of proteins is through computer simulations. However, these computer simulations generate huge amounts of data that require computational methods for their analysis. In this paper we report on the use of Inductive Logic Programming (ILP) techniques to analyse the trajectories of protein unfolding simulations. The paper describes ongoing work on one of several problems of interest in the protein unfolding setting. The problem we address here is that of explaining what makes secondary structure elements to break down during the unfolding process. We tackle such problem collecting examples of contexts where secondary structures break and (automatically) constructing rules that may be used to suggest the explanations.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 5