Abstract
Proteins able to interact with ribonucleic acids (RNA) are involved in many cellular processes. A detailed knowledge about the binding pairs is necessary to construct computational models which can avoid time consuming biological experiments. This paper addresses the creation of a model based on support vector machines and trained on experimentally validated data. The goal is the identification of RNA molecules binding specifically to a regulatory protein, called CELF1.
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Livi, C.M., Paillard, L., Blanzieri, E., Audic, Y. (2012). Identification of Regulatory Binding Sites on mRNA Using in Vivo Derived Informations and SVMs. In: Rocha, M., Luscombe, N., Fdez-Riverola, F., RodrÃguez, J. (eds) 6th International Conference on Practical Applications of Computational Biology & Bioinformatics. Advances in Intelligent and Soft Computing, vol 154. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28839-5_4
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DOI: https://doi.org/10.1007/978-3-642-28839-5_4
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