Abstract
We employ a novel method to construct a phylogenetic tree based on distance matrix among different protein molecular sequences, and present a statistical model to infer specific molecular function for unannotated protein sequences within the phylogenetic tree. Our method produced specific and consistent molecular function prediction across the P-falciparum family. For the P-falciparum family, it achieves 91.2% precision and 76.9% recall, outperforms the related method GOtcha and BLAST. Finally, we intend to improve our method through adopting a more appropriate feature extraction approach from the sequence or a better statistical inference model in the future.
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Jian, L. (2012). Protein Molecular Function Prediction Based on the Phylogenetic Tree. In: Huang, DS., Gupta, P., Zhang, X., Premaratne, P. (eds) Emerging Intelligent Computing Technology and Applications. ICIC 2012. Communications in Computer and Information Science, vol 304. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31837-5_27
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DOI: https://doi.org/10.1007/978-3-642-31837-5_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31836-8
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