RNA-protein interaction prediction based on machine learning and optimization

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From a viewpoint of RNA sequenceanalysis, we first developed a mathematical method for predicting complex folding structures of an RNA when its single sequence is given. We then developed a computational method for aligning and folding multiple RNA sequences simultaneously. All of these methods were validated on real biological data, achieving fast run-time and goodprediction accuracy at least comparable to those of earlier methods. The proposed technologies are expected to provide a good practical foundation for RNA-protein interaction prediction.