Method for predicting drug targeting protein-to-protein interaction based on multivariate data

A technology of protein interaction and multivariate data, applied in the fields of electrical digital data processing, special data processing applications, biostatistics, etc., can solve the problems of less data types, insufficient prediction accuracy, and inaccurate prediction effects, etc., to improve robustness Sex and accuracy, the effect of high accuracy

Active Publication Date: 2017-06-30
TONGJI UNIV
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Problems solved by technology

[0007] The above-mentioned methods have the following disadvantages. First, there are few types of data, that is, only one or two types of data are considered for fitting, and the prediction effect is not accurate enough.
Second, the number of features used is limited and the predicti...

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  • Method for predicting drug targeting protein-to-protein interaction based on multivariate data
  • Method for predicting drug targeting protein-to-protein interaction based on multivariate data
  • Method for predicting drug targeting protein-to-protein interaction based on multivariate data

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Embodiment Construction

[0025] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention clearer, the present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0026] attached figure 1 It is the implementation process of the present invention. As shown in the figure, the present invention combines protein-related multivariate data to predict drug-targeted protein interactions. At the same time, it predicts whether there is an interaction between proteins, whether the drug-targeted protein interacts, and whether the drug-targeted protein is located on the corresponding protein interaction surface.

[0027] The specific implementation steps include:

[0028] Step 1, sorting out all non-redundant protein interaction pairs contained in the protein interaction database, a total of 233461 pairs, which can be used to predict whether there is protein interaction between proteins.

[00...

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Abstract

The invention discloses a method for predicting drug targeting protein-to-protein interaction (PPI) based on multivariate data. According to the method, with the judgment whether a drug is targeted to protein-to-protein interaction as the research object, an integrated classifier algorithm for predicting the drug targeting protein-to-protein interaction based on eleven characteristics such as the structure, function and amino acid sequence of protein is developed. The prediction method can be used for predicting whether interaction exists between protein and protein or not and whether the interaction target of a drug and protein occurs in the protein binding interface (PPI interface) or not.

Description

technical field [0001] The invention relates to a prediction method for predicting the interaction of drug-targeted proteins under the background of machine learning and bioinformatics knowledge, in particular to a prediction method for predicting the interaction of drug-targeted proteins based on multivariate data. Background technique [0002] Protein interaction (Protein Protein Interaction, PPI) plays a central role in life activities. Studies have proved that protein interaction is drug-targeted. The study of protein interaction provides an important theoretical basis for drug target discovery and drug design. For example, once the amount of the apoptosis inhibitor XIAP in the cells exceeds the normal value, the cells will not undergo normal apoptosis, which in turn will cause tumors and cancers. However, XIAP can inhibit apoptosis by interacting with caspase-9, an activating intracellular caspase. Therefore, inhibiting the interaction between XIAP and caspase can achie...

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Application Information

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IPC IPC(8): G06F19/24G06F19/16
CPCG16B15/00G16B40/00
Inventor 赵兴明周凌云
Owner TONGJI UNIV
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