Protein function prediction model generation, protein function prediction method and device

Abstract

The invention discloses a protein function prediction model generation method, a protein function prediction model generation device, a protein function prediction method and a protein function prediction device. The protein function prediction model generation method comprises the following steps: obtaining an amino acid sequence characteristic matrix of a training protein; obtaining a first characteristic matrix based on the amino acid sequence characteristic matrix of the training protein, wherein the first characteristic matrix corresponds to an interaction site in an amino acid sequence of the training protein; training a pre-constructed initial model according to the first characteristic matrix and a data label corresponding to the first characteristic matrix to obtain a protein function prediction model, wherein the amino acid sequence characteristic matrix comprises deep layer characteristics of a training protein amino acid sequence. The method has the advantages that the ambiguity of the surface characteristics of the amino acid sequence is avoided. The functional characteristics of the training protein can be expressed more accurately. The interference of amino acid residues irrelevant to the protein interaction capability in the amino acid sequence on protein function prediction is eliminated, so that the prediction accuracy and precision are improved.

Description

technical field [0001] The present application relates to the field of biological information technology, and in particular to a method and device for generating a protein function prediction model and a method and device for protein function prediction. Background technique [0002] Proteins usually interact with other molecules in the body to complete specific functions, and the functions of proteins are specifically expressed by their ability to interact with other molecules. For example, protein kinase (protein kinase) contacts with other protein molecules and plays an important role in changing the activity of other protein molecules. Therefore, if it is possible to know in advance which interaction sites in the amino acid sequence of a protein that can interact with other molecules, it will not only improve the functional annotation of the proteome database, but also effectively participate in and guide drug design. [0003] At present, when predicting the function of...

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Problems solved by technology

[0004] In order to solve the problems of the existing technology, the embodiment of the present application provides a protein function prediction model generation method and device on the one hand, and provides a protein function prediction method and device on the other hand, which can solve the problem of prediction accuracy in the prior art. and the problem of low precision

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