Method for predicting the direction and regulation of protein interactions

Abstract

The invention relates to a prediction method of protein interaction direction and regulation relationship, which comprises the following steps: homologous modeling of the interaction protein; comparing and superposing the homologous spatial structure of each interacting protein and each subunit of the protein complex, according to the structure of the stable complex, a protein-protein interactionmodel with spatial structure resolution being constructed, and the interaction direction and frequency of amino acid residues in the protein-protein interaction interface being calculated, and the directional contact map of amino acid residues in the protein-protein interaction interface being generated; a convolution neural network being used to extract the target characteristics of the directional contact map, and the recognition model being trained to obtain the training model, and the protein interaction direction and regulation relationship being predicted. The prediction method of protein interaction direction and regulation relationship is a prediction method based on depth learning, which can achieve accurate and efficient prediction of protein interaction direction and regulationrelationship.

Description

technical field [0001] The invention relates to the field of biotechnology, in particular to a method for predicting protein interaction direction and regulation relationship. Background technique [0002] Protein-protein interactions are essential to almost all cellular processes, and most genes perform biological functions by interacting with other proteins at the protein level. [0003] At present, some high-throughput experimental methods have been developed to analyze the interaction relationship between proteins, which can deepen people's understanding of how proteins form functional complexes through interactions and participate in cell responses to environmental stimuli. [0004] However, the existing high-throughput protein interaction detection methods can only detect simple physical interaction relationships (chemical bonds) between proteins, and lack the reflection of interaction directionality (upstream or downstream) and regulatory relationships (activation or ...

AI Technical Summary

Problems solved by technology

[0004] However, the existing high-throughput protein interaction detection methods can only detect simple physical interaction relationships (chemical bonds) between proteins, and lack the reflection of interaction directionality (upstream or downstream) and regulatory relationships (activation or inhibition). However, most of the interactions between proteins in real life systems have obvious biological functions such as signal transduction, activation, or inhibition.

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