Phosphorylation prediction for proteins by LS-SVM with string kernel

Jakub Węcławski; Stanislaw Jankowski

doi:10.1117/12.873409

14 September 2010 Phosphorylation prediction for proteins by LS-SVM with string kernel

Jakub Węcławski, Stanislaw Jankowski

Proceedings Volume 7745, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2010; 77450Z (2010) https://doi.org/10.1117/12.873409
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2010, 2010, Wilga, Poland

Abstract

In this work we present string kernels as a method of representing biological data. These data are sequences of symbols which represent amino acids encoding proteins. This paper presents the results of the tests done on the data obtained from the Centre of Oncology in Warsaw. These data incoroporate amino acids sequences to which specified enzymes (protein kinases) were assigned. The enzymes catalyze reaction of phosphorylation for these sequences. The results of the tests were compared with those obtained during previous investigations made at the Faculty of Electronics and Information Technology, Warsaw University of Technology.

Citation Download Citation

Jakub Węcławski and Stanislaw Jankowski "Phosphorylation prediction for proteins by LS-SVM with string kernel", Proc. SPIE 7745, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2010, 77450Z (14 September 2010); https://doi.org/10.1117/12.873409

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