Drug susceptibility prediction method based on multi-similarity network

A drug sensitivity and prediction method technology, applied in the field of biomedicine, can solve the problems of inaccurate prediction of drug sensitivity and failure to consider the characteristics of biological networks, so as to achieve accurate prediction and improve the accuracy rate

Active Publication Date: 2018-11-23
CENT SOUTH UNIV
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Problems solved by technology

In fact, this two-layer network-based drug sensitivity prediction experiment is to mine the influence of drugs and cell lines on drug sensitivity, but this method does not take ...

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  • Drug susceptibility prediction method based on multi-similarity network
  • Drug susceptibility prediction method based on multi-similarity network
  • Drug susceptibility prediction method based on multi-similarity network

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Embodiment Construction

[0027] The present invention first constructs three similarity networks: drug similarity network (DSN), cell line similarity network (CSN) and gene similarity network (GSN), and the mapping relationship among them. The construction of DSN is to find the 1D&2D structure file SDF file of the compound corresponding to the drug in the database, and then use PaDEL software to analyze the descriptor of the drug, and finally calculate the Pearson correlation coefficient of the descriptor of these compounds to obtain the drug similarity network. The construction is to form a cell line similarity network by calculating the Pearson correlation coefficient of the gene spectrum data corresponding to the cell line in the data set. As for the gene similarity network (GSN), we first obtain the gene names obtained from the drug-target (gene) relationship, and then obtain the gene's interaction network from the HPRD database. Drug sensitivity is then predicted based on the three biological net...

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Abstract

The present invention discloses a drug susceptibility prediction method based on a multi-similarity network. The method comprises the steps of: employing drug structure information to construct a drugsimilarity network, employing cell line gene expression profile data to construct a cell line similarity network after gene screening, and calculating a gene similarity network according to protein structure information; on this basis, establishing an association relation among drugs, the cell line and the genes, and performing three random walk in multiple networks formed by the constructed drugsimilarity network, the cell line similarity network and the gene similarity network to predict the drug susceptibility. On the basis of simpleness and practicability, the drug susceptibility prediction method based on a multi-similarity network can improve the drug susceptibility identification accuracy and can provide important reference for researchers to perform drug design.

Description

technical field [0001] The invention relates to the technical field of biomedicine, in particular to a drug sensitivity prediction method based on a multi-similarity network. Background technique [0002] Over the past two decades, substantial improvements in high-throughput analytical techniques have raised expectations for personalized or precision medicine to become the future paradigm of medical science. Patients with the same cancer may respond differently to specific drug treatments. Personalized medicine hopes to understand the cause of a specific patient's cancer at the molecular level, and then tailor treatment to address the patient's cancer. Compared with chemotherapy-based monotherapy approaches, personalized medicine looks at tumor response based on established molecular profiles of cancer cells to overcome some of the limitations associated with conventional symptom-oriented disease diagnosis and treatment. The most important step in personalized medicine is t...

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Application Information

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IPC IPC(8): G16H70/40
CPCG16H70/40
Inventor 李敏王晓桐王建新
Owner CENT SOUTH UNIV
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