The Protein Structure Prediction Module of the Prot-Grid Information System

: In this work, we describe the protein secondary structure prediction module of a distributed bio-informatics system. Protein databases contain over a million of sequenced proteins, however there is structuring information for at most 2% of that number. The challenge is to reliably predict the structure based on classifiers. Our contribution is the evaluation of architectures of multiple classifier systems on a standard dataset (CB396) containing protein sequencing information. We compare the results of a single classifier system based on SVMs, as well as with our version of an SVM based adaBoost algorithm and a novel fuzzy multi-SVM classifier.

• Type: Conference
• Year: 2003
• Where: ICEIS
• Authors: Dimitrios Vogiatzis, Dimitrios Frosyniotis, George A. Papadopoulos
• Keywords: Bio-informatics System, ICEIS 2003, Information Systems, Protein Secondary Structure, Protein Sequencing Information