RNA and protein binding site recognition method based on deep learning

Abstract

The invention discloses an RNA and protein binding site identification method based on deep learning, and the identification method is divided into two parts: data processing and model design training, and each part mainly comprises the following steps: 1, data processing: step 1, performing redundancy elimination on original data; step 2, predicting secondary structure information; step 3, coding the secondary structure obtained in the step 2; step 4, storing all data in the corresponding csv file as input data; 2, model design and training: step 1, encoding as a data matrix as model input; step 2, determining that the dimensions of the two feature matrixes are the same; step 3, inputting the combined features into an encoder; step 4, obtaining a final encoding result of the encoder. step 5, obtaining a final category through a sigmoid function. The invention has the beneficial effects that the long dependency of the sequence is learned by using the Transform network and the characteristics are coded, so that the binding site of RNA and protein can be effectively predicted.

Description

Technical field [0001] The present invention relates to a method of identifying an RNA and a protein binding site, and more particularly to a method of identifying a depth study of RNA and protein binding sites. Background technique [0002] RNA Binding Protein (RBP) is a class of proteins that regulate the RNA metabolic process, which is closely related to many important biological processes, and post-transcriptional regulation and gene expression, and the like. For example, miRNA is a class of RNAs with a length of 21 bp, and after mutual action, it will stop translation and play a role of transcriptional regulation. In addition, the disorder of RBP may lead to various diseases. The mutation of RBP, FUS, and TDP-43 is closely related to myramatic lateral river, and RBP can also destroy the transcriptional mechanism of diabetes, understand the regulation of RBP in diabetes, can help design RNA-based diabetes complications. Integrated RBP and RNA interactions and single nucleotid...

AI Technical Summary

Problems solved by technology

At present, there are two main methods for studying the binding sites of RNA and proteins. One is through biological experiments. This method not only has strict requirements on the experimental environment, but also has high requirements on the professionalism of researchers.

Although this method is accurate and reliable, it requires a lot of time and effort, and many uncontrollable factors in the experimental process will also have a huge impact on the results

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