Method for judging influence on protein interaction based on mutation information

Abstract

The invention discloses a method for judging the influence on protein interaction based on mutation information. The method is a judgment tool (MIPPI) for judging whether single-point mutation in a protein can generate negative influence on the protein interaction of the original gene, and comprises three parts of data collection and screening, feature selection and extraction, and model establishment. According to the technical scheme, an intuitive auxiliary judgment standard for the influence of mutation on protein interaction can be provided for related researchers of gene and protein mutation, the influence on protein interaction caused by mutation is judged mainly based on protein sequence mutation information, and judgment on the severity degree of protein mutation can be improved.

Description

technical field [0001] The invention belongs to the technical field of biological computers, and in particular relates to a method for judging the influence of protein interaction based on mutation information. Background technique [0002] Gene mutations are ubiquitous in the human genome. According to literature reports, each person's gene contains an average of about 175 mutation points, and each person carries more than 3 harmful mutations on average. Most of the gene mutation sites are located in the non-coding region of the genome, and only a few fall in the coding region. Missense mutations in the coding region can lead to changes in protein coding, thereby changing the structure and function of proteins, and affecting related biological processes and functions. At present, a large number of diseases are known to be related to gene mutations, typically mental diseases, such as autism, obsessive-compulsive disorder, Alzheimer's disease, bipolar disorder, etc. Other re...

AI Technical Summary

Problems solved by technology

At present, research in this area mainly focuses on the effect of mutations on protein binding free energy, and there is no research that directly judges the effect of protein interactions caused by mutations through sequence information.

The main problems in this research are: 1) The available research data is insufficient, and there is not enough experimentally verified labeling data as a support to carry out related research. At present, most protein interaction-related data sets do not have mutation 2) Most of the studies on mutations on the protein itself and protein interaction have used various complex protein structure information as the characteristic basis. So far, we have comprehensive structural information, and Insufficient data on the effect of protein interaction after marking the relevant point mutations, and a large amount of data lack experimental verification, which hinders related research

Images