Method for establishing drug synergistic effect prediction model, prediction method and corresponding device

A technology of synergy and prediction model, applied in biological neural network models, neural learning methods, bioinformatics, etc., can solve problems such as manpower and material resources

Inactive Publication Date: 2021-11-12
BEIJING BAIDU NETCOM SCI & TECH CO LTD
View PDF0 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

A reasonable combination of drugs is based on the synergistic effect of drugs, but the screening of drug synergistic effects from the experimental side is very labor-intensive and resource-intensive

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for establishing drug synergistic effect prediction model, prediction method and corresponding device
  • Method for establishing drug synergistic effect prediction model, prediction method and corresponding device
  • Method for establishing drug synergistic effect prediction model, prediction method and corresponding device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

[0044] The present disclosure provides a method for establishing a drug synergy prediction model based on a graph convolutional network and a prediction method based on the model. figure 1 It is a flow chart of the method for establishing a drug synergy prediction model provided by an embodiment of the present disclosure. The execution subject may be a device that sugge...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a method for establishing a drug synergistic effect prediction model, a prediction method and a corresponding device, and relates to technologies such as deep learning and AI medical treatment in the technical field of artificial intelligence. The method comprises the following steps: obtaining a relation graph, wherein nodes in the relation graph comprise drug nodes and protein nodes, and indicating the interaction exists between the nodes; collecting medicine node pairs with definite synergistic effects from the relation graph, and taking the annotation indicating whether cooperative effect exist as the training samples; and taking the drug node pairs in the training samples as the input of a drug synergistic effect prediction model, taking the annotation indicating whether the drug node pairs have the synergistic effect as the target output, and training a drug synergistic effect prediction model, wherein the drug synergistic effect prediction model is obtained by learning the relation graph based on a graph convolutional network. On the basis, automatic prediction of the drug synergistic effect can be achieved, and more manpower and material resource cost is saved compared with a whole test mode.

Description

technical field [0001] The present disclosure relates to the field of computer application technology, and in particular to technologies such as deep learning and AI medical treatment in the field of AI (Artificial Intelligence, artificial intelligence). Background technique [0002] Combination medication refers to the simultaneous or prior application of two or more drugs to achieve the purpose of treatment, mainly for the purpose of increasing the curative effect of the drug or reducing the side effects of the drug. But it is also possible to have the opposite result, so a reasonable combination of drugs is very important. A reasonable combination of drugs is based on the synergistic effect of drugs, but the screening of drug synergistic effects from the experimental side is very labor-intensive and resource-intensive. Contents of the invention [0003] In view of this, the present disclosure provides a method for establishing a drug synergy prediction model, a predict...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G16B15/30G06K9/62G06N3/04G06N3/08
CPCG16B15/30G06N3/08G06N3/045G06F18/214G16H50/20G16H50/70G16H20/10G06F18/2323G16B40/20G16H50/50G06F16/9024G16B45/00
Inventor 胡靖
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products