MAHATMA: A Genetic Programming-Based Tool for Protein Classification
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- @InProceedings{Tsunoda:2009:ISDA,
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author = "Denise F. Tsunoda and Alex A. Freitas and
Heitor S. Lopes",
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title = "MAHATMA: A Genetic Programming-Based Tool for Protein
Classification",
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booktitle = "Ninth International Conference on Intelligent Systems
Design and Applications, ISDA '09",
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year = "2009",
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month = "30 " # nov # "-2 " # dec,
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pages = "1136--1142",
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keywords = "genetic algorithms, genetic programming, MAHATMA,
amino acids, biological functions, enzymes,
evolutionary computation method, genetic
programming-based tool, heuristic method, motifs,
protein classification, protein data bank, biology
computing, pattern classification, proteins",
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DOI = "doi:10.1109/ISDA.2009.14",
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abstract = "Proteins can be grouped into families according to
some features such as hydrophobicity, composition or
structure, aiming to establish common biological
functions. This paper presents a system that was
conceived to discover features (particular sequences of
amino acids, or motifs) that occur very often in
proteins of a given family but rarely occur in proteins
of other families. These features can be used for the
classification of unknown proteins, that is, to predict
their function by analyzing their primary structure.
Experiments were done with a set of enzymes extracted
from the protein data bank. The heuristic method used
was based on genetic programming using operators
specially tailored for the target problem. The final
performance was measured using sensitivity (Se) and
specificity (Sp). The best results obtained for the
enzyme dataset suggest that the proposed evolutionary
computation method is very effective to find predictive
features (motifs) for protein classification.",
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notes = "Also known as \cite{5364152}",
- }
Genetic Programming entries for
Denise Fukumi Tsunoda
Alex Alves Freitas
Heitor Silverio Lopes
Citations