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paper 9, Boosting the Performance of Pseudo Amino Acid Composition

In Session 1 of Future Computer and Communication 2011 from: International Conference on Future Computer and Communication, 3rd (ICFCC 2011), First
Author(s)/Editor(s):
859711 Cover Image
Published: 2011
Author(s)/Editor(s): Yunus Emre Göktepe, İlhan İlhan, Şirzat Kahramanli
Chapter Page Count: 6 pages

Table of Contents

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Chapter Contents

  • Abstract
  • Key Words
  • 1 Introduction
  • 2. Proposed System
  • 3. Experimental Results
  • 4. Conclusion
  • References

Excerpt

Protein-protein interactions are critical in coordinating various cellular processes. They help understanding protein function and drug design. Extracting protein features from amino acid sequences is important in order to study protein-protein interactions. Various feature extraction approaches for proteins have been introduced up to the present. PseAAC is one of the most used protein feature extractor. In this work we purpose a new approach to calculate amino acid composition values. The purpose of our method is to adjust the weights of the composition values during feature extraction process. It means that bigger composition values will contribute more to prediction function than smaller ones. Our experimental results showed that our method outperformed PseAAC.



©2011 ASME

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Print ISBN:

9780791859711

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