Automated Protein Structure Classification: A Survey

Details Automated Protein Structure Classification: A Survey Automated Protein Structure Classification: A Survey

2009-07-13

arxiv.org/abs/0907.1990v1

Computer Science

Computational Engineering, Finance, and Science

14 pages, Technical Report CSRG-589, University of Toronto

Scientific paper

Classification of proteins based on their structure provides a valuable resource for studying protein structure, function and evolutionary relationships. With the rapidly increasing number of known protein structures, manual and semi-automatic classification is becoming ever more difficult and prohibitively slow. Therefore, there is a growing need for automated, accurate and efficient classification methods to generate classification databases or increase the speed and accuracy of semi-automatic techniques. Recognizing this need, several automated classification methods have been developed. In this survey, we overview recent developments in this area. We classify different methods based on their characteristics and compare their methodology, accuracy and efficiency. We then present a few open problems and explain future directions.

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