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Code-level cerebral apoplexy diagnosis gene circuit design method

A gene circuit and design method technology, applied in the field of synthetic biology, can solve problems such as incomplete adaptation and high inspection costs, and achieve the effects of improving efficiency and detection accuracy, accurate and reliable early warning and diagnosis, and reducing costs

Pending Publication Date: 2020-01-31
BEIHANG UNIV
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AI Technical Summary

Problems solved by technology

At present, the detection of stroke mainly relies on CT (Computed Tomography), MRI (Magnetic Resonance Imaging) and other imaging tests. Adapt to current clinical testing

Method used

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  • Code-level cerebral apoplexy diagnosis gene circuit design method
  • Code-level cerebral apoplexy diagnosis gene circuit design method

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Embodiment Construction

[0025] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and examples.

[0026] See figure 1 As shown, the patent of the present invention designs a code-level method for designing a gene circuit for stroke diagnosis, and the steps of the method include:

[0027] Step 1, building a genetic circuit component model library, which is the basis for subsequent complex logic function circuits. "Inhibitor" is a concept in molecular biology. It is the basic element of the gene regulatory network. Every process of it can help reduce the generation of noise. The concept of "phase device" is almost a one-to-one relationship in the steady state, and the "inhibitor" can be used as a natural inverter, so this inverter structure can be used to build a more complex stable structure, which is why Inverters can be one of the core components in genetic circuits. Its functional components include transcription, regulato...

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Abstract

The invention provides a code-level cerebral apoplexy diagnosis gene circuit design method. The method comprises the following steps: 1, building a gene circuit element model base, wherein the elementmodel library comprises circuit models for realizing three basic logic functions of AND, OR and NOT; 2, performing logic abstraction on a marker or marker group detection function by using program design, and outputting a detection circuit function logic expression; 3, converting the logic expression into a gate-level circuit diagram, and laying a foundation for building of a gene circuit in thenext step; 4, detecting a single marker or a plurality of markers of cerebral apoplexy to realize disease diagnosis; through the above steps, design and construction of different logic function detection circuits of the cerebral stroke marker and the marker group are realized, and real-time detection and judgment are performed on biological marker molecules, so the circuit achieves early warning and diagnosis effects on cerebral stroke, and meanwhile, the circuit design efficiency and the detection accuracy are improved.

Description

technical field [0001] The invention provides a code-level gene circuit design method for stroke diagnosis, which is used for the code-level gene circuit design method for stroke marker detection, and belongs to the field of synthetic biology. Background technique [0002] Stroke, also known as "cerebrovascular accident", is a group of diseases that cause damage to brain tissue due to sudden rupture of blood vessels in the brain or blood circulation disturbance caused by blood vessel blockage. Broadly speaking, stroke is divided into two types: ischemic and hemorrhagic, and ischemic stroke accounts for about 85% of the total. Stroke has a very serious impact on human life. With its high morbidity rate, high disability rate, and high mortality rate, it poses a huge threat to human health and is the first among the top ten causes of death in the world. At present, the detection of stroke mainly relies on CT (Computed Tomography), MRI (Magnetic Resonance Imaging) and other ima...

Claims

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Application Information

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IPC IPC(8): G16H50/20G06F30/30G16B25/00
CPCG16H50/20G16B25/00
Inventor 王翔于千千张成郝强赵宗明张准于杰司雨刘梦晨
Owner BEIHANG UNIV
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