Protein coding method and protein post-translational modification site prediction method and system

Abstract

The invention discloses a protein coding method and a protein post-translational modification site prediction method and system, belonging to the field of bioinformatics. The protein coding method includes collection of modification site information, position weight training, and coding of a peptide fragment to be encoded. The protein coding method and protein post-translational modification siteprediction method includes: collection of modification site information, feature coding, model training, and protein post-translational modification site prediction. The protein coding method and theprotein post-translational modification site prediction method and system construct prediction models for digital vector features of different types of positive and negative sites by using a deep neural network and penalty logistic regression, respectively, so as to obtain a plurality of prediction models, take the prediction results of each prediction model as new features and utilizing penalty logical regression to construct a final model, can capture more protein information, thus being conductive to improvement of the accuracy of prediction, and can quickly identify large-scale protein modification sites.

Description

technical field [0001] The invention relates to the field of bioinformatics, and more specifically, to a protein coding method and a method and system for predicting protein post-translational modification sites. Background technique [0002] Protein post-translational modification is one of the most important mechanisms in eukaryotes and prokaryotes, which involves the attachment of chemical groups to the amino acid side chains of proteins. Various protein post-translational modifications (PTMs) play crucial roles in a variety of cellular processes that regulate protein function, physicochemical properties, conformation, stability, and molecular interactions in response to developmental signals or environmental stimuli. For example, protein phosphorylation, the most ubiquitous protein post-translational modification PTM, induces signal transduction and apoptosis; lysine succinylation plays a crucial role in metabolic pathways; protein acetylation and methylation Lysine ubi...

AI Technical Summary

Problems solved by technology

[0003] The invention solves the problem that the prediction method of protein post-translational modification sites in the prior art cannot realize the prediction of multi-feature data, and cannot predict protein post-translational modification in different species with high precision

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