Method for screening micro ribonucleic acid (microRNA) target gene based on natural language processing system

A technology of natural language processing and screening method, applied in the field of bioinformatics screening of microRNA target genes, can solve problems such as target gene verification obstacles, and achieve the effect of easy identification.

Inactive Publication Date: 2012-03-14
浙江中医药大学附属第一医院
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The current miRNA target gene prediction software often gives hundreds of target genes for a single miRNA target gene, which poses a great obstacle to the subsequent verification of target genes

Method used

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  • Method for screening micro ribonucleic acid (microRNA) target gene based on natural language processing system
  • Method for screening micro ribonucleic acid (microRNA) target gene based on natural language processing system
  • Method for screening micro ribonucleic acid (microRNA) target gene based on natural language processing system

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Embodiment Construction

[0018] The present invention will take the target gene screening of miR-21 (a known microRNA) related to the occurrence of rectal cancer as an example to introduce the specific implementation steps of the method of the present invention.

[0019] Step 1. In the present invention, we choose the biological process of rectal cancer as the research object. By studying its tumor cells, we find that miR-21 is related to the formation of tumors, so we choose miR-21 as the microRNA for our experimental analysis. .

[0020] Step 2. Here we use our literature mining analysis system (software copyright registration number: 2009SR045504) to search and analyze miR-21 as the keyword, process the analysis results and extract the genes related to miR-21 we need, and organize them into list.

[0021] Step 3: Predict the target gene of miR-21. In this example, we will use the following three most commonly used software for forecasting:

[0022] PicTar 2005: http: / / pictar.mdc-berlin.de / cgi-bi...

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Abstract

The invention discloses a bioinformatics method capable of screening a micro ribonucleic acid (microRNA) target gene from the existing literature by using a computer natural language processing system, which can eliminate complicated steps of a middle experiment and locking the target gene directly so as to bring convenience to further experiment verification. The method mainly comprises the following steps of: 1, selecting a specific development object and the microRNA; 2, introducing a literature excavation technology, and searching a relative gent; 3, performing target gene prediction on the microRNA, and settling into a list; 4, integrating gene lists in the steps 3 and 4, and constructing a gene interaction relationship network; 5, analyzing the connectivity of the gene in the step 4, searching a node gene, and screening a key target gene of the microRNA out; and 6, performing experiment verification.

Description

technical field [0001] The invention belongs to the field of biotechnology, and relates to the bioinformatics screening aspect of microRNA (micro ribonucleic acid) target gene. Background technique [0002] The present invention uses a computer natural language processing system to find a bioinformatics method that can screen microRNA target genes from existing literature, which can avoid the cumbersome steps of intermediate experiments, and directly lock target genes for further experiments. verify. It is suitable for the subsequent target gene screening of microRNA chip and the target gene screening of known specific microRNA. [0003] MicroRNAs are a new class of non-coding, endogenous small RNAs widely found in cells from plants, nematodes to humans, which bind to the 3' untranslated region of target mRNAs by base pairing, thereby inhibiting It translates or promotes the degradation of mRNA. miRNAs combine incompletely with the 3' untranslated regions of target mRNAs ...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 陈喆吴剑丙刘培
Owner 浙江中医药大学附属第一医院
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