RNA-Protein Interaction Prediction sing euence Information

Akbaripour-Elahabad, Mohammad and Rafeh, Reza and Zahiri, Javad and Rafe, Vahid (2014) RNA-Protein Interaction Prediction sing euence Information. The 5th Iranian Conference on Bioinformatics, Tehran, Iran, 20-22 May, 2014.

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Abstract or Summary

Many of RNA functions depend on interactions between RNA and proteins. So, understanding the molecular mechanism of RNA-protein interactions (RPIs) is a maor challenge in structural bioinformatics. In this paper, we proposed a novel method for predicting RNA-protein interactions based on sequence information. e used motif information and repetitive site in RNA and protein sequences as features to build a model to RPI prediction using a random forest classifier. Results of 0-fold cross-validation experiments on two non-redundant benchmark datasets show the good performance of proposed method in RPI detection. Our method achieved an accuracy of and Matthews correlation coefficient (MCC) of 76.

Item Type:Paper presented at a conference, workshop or other event, and published in the proceedings
Keywords that describe the item: RNA-protein interaction; random forest; motif
Subjects:Q Science > Q Science (General)
Q Science > QA Mathematics > QA76 Computer software
Divisions:Schools > Centre for Business, Information Technology and Enterprise > School of Information Technology
ID Code:5138
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Deposited On:11 Jan 2017 02:48
Last Modified:19 Dec 2018 23:38

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