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 |
| Deposited By: | |
| Deposited On: | 11 Jan 2017 02:48 |
| Last Modified: | 19 Dec 2018 23:38 |
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