S-nitrosation site prediction method, model training method and storage medium

Abstract

The invention provides an S-nitrosation site prediction model training method, prediction method and device, and the method comprises the steps: obtaining a data file, carrying out the preprocessing of the data file, and obtaining a sequence sample; performing feature extraction on the sequence samples according to a feature extraction algorithm, and splicing sequence features to obtain an initial feature set; performing balance processing on the initial feature set, and screening the sequence features according to importance to obtain a target feature set; and training an ensemble classification algorithm according to the target feature set to obtain a target S-nitrosation site prediction model. According to the method, by means of sample preprocessing and optimization of the feature set, the technical problems that time and labor are wasted and the cost is high when an SNO site is identified through a test screening method are solved, the training speed is higher, and the trained target S-nitrosation site prediction model can predict the S-nitrosation site more effectively and accurately.

Description

technical field [0001] The application belongs to the field of sequence analysis, and specifically relates to an S-nitrosylation site prediction method, a model training method and a storage medium. Background technique [0002] Protein S-nitrosylation (S-Nitrosylation, SNO) is one of the most important and common post-translational modifications (post-translational modifications, PTM), involving nitric oxide (nitric oxide, NO) and its derivatives and Covalent modification of cysteine ​​residues. Since Stamler first discovered the pathway of protein nitrosylation, the intensity and extent of protein nitrosylation research have made amazing progress. Different studies have shown that SNO plays a key role in numerous physiological and pathological processes, such as immune response, cellular senescence, transcriptional and post-translational regulation, and neurodegeneration. In addition, abnormal post-translational modifications such as protein nitrosylation can also lead t...

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Problems solved by technology

[0004] Aiming at the above-mentioned problem of "identifying SNO sites through large-scale test screening methods is time-consuming, laborious and expensive", the present invention provides a method for predicting S-nitrosylation sites, a model training method and a storage medium

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