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miRNA data and tissue specificity network-based drug reorientation method

A tissue-specific and repositioning technology, applied in the field of bioinformatics, can solve the problem of low accuracy of prediction results and achieve the effect of improving accuracy

Inactive Publication Date: 2017-09-22
XIDIAN UNIV
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Problems solved by technology

[0012] The purpose of the present invention is to overcome the defects in the above-mentioned prior art, and propose a drug repositioning method based on miRNA data and tissue-specific network, which is used to solve the technical problem of low accuracy of prediction results existing in the prior art

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  • miRNA data and tissue specificity network-based drug reorientation method

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Embodiment Construction

[0033] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0034] This embodiment takes breast cancer as an example.

[0035] refer to figure 1A drug repositioning method based on miRNA data and a tissue-specific network, comprising the steps of:

[0036] Step 1) download the miRNA expression value data of 1189 breast cancer patient samples from the TCGA database, and obtain matrix W, and the W matrix has 503 rows and 1189 columns, wherein the rows represent 503 miRNAs, and the columns represent 1189 breast cancer patient samples;

[0037] Step 2) Preprocess the matrix W: calculate the mean value of each row of miRNA in the matrix W, and use it as the expression value R of the row of miRNA i , get a vector r=[R that contains 503 miRNA expression values 1 , R 2 , R 3 ,...,R i ,...,R 503 ], wherein, i represents the index of miRNA, and i=1,2,3,...,503;

[0038] miRNA expression value R ...

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Abstract

The invention discloses a miRNA data and tissue specificity network-based drug reorientation method, and aims at solving the technical that the prediction result is low in correctness in the prior art. The method comprises the following steps of: downloading miRNA expression value data of a cancer patient sample from a related database, so as to obtain a matrix Wm*n; preprocessing the matrix Wm*n, calculating a mean value of each line of miRNA in the matrix Wm*n, and taking the mean value as an expression value of the line of miRNA; obtaining a cancer different expression miRNA; downloading drug and target gene data, the cancer difference expression miRNA, target gene data and a tissue specificity network from the related database; calculating distance scores between drugs and miRNA by utilizing a module distance algorithm; obtaining a similarity weights between the drugs and the cancer; and obtaining candidate drugs to the cancer. The method can be used for predicting candidate drugs of tissue specificity cancers.

Description

technical field [0001] The invention belongs to the technical field of bioinformatics and relates to a drug repositioning method, in particular to a drug repositioning method based on miRNA data and a tissue-specific network, which can be used to predict candidate drugs for tissue-specific cancers. Background technique [0002] Research on complex diseases has always been a hot and complicated issue. For example, cancer, diabetes and cardiovascular diseases are often caused by complex genetic and environmental factors. In the past few decades, despite the rapid development of the field of genomics and life sciences, the development of new drugs is still very time-consuming, expensive and the success rate is very low, and the development of new drugs has begun to stagnate. According to conservative statistics, it usually takes more than 15 years to develop a new drug and costs 800 million to 1 billion US dollars, so there is an urgent need to discover new indications for drug...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/16G06F19/24G06F19/22G06F19/20
CPCG16B25/00G16B15/00G16B30/00G16B40/00
Inventor 鱼亮赵晋
Owner XIDIAN UNIV
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