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Drug target identification method for depression and drug addiction diseases

An identification method and technology for depression, applied in biochemical equipment and methods, pharmaceutical formulations, microbial measurement/inspection, etc., can solve problems such as insufficient accuracy of experimental results, and achieve the effect of avoiding drug dependence

Pending Publication Date: 2021-08-31
NANCHANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to overcome the existing defects and provide a drug target identification method for depression and drug addiction diseases, so as to solve the problem of insufficient accuracy of the experimental results proposed in the above-mentioned background technology

Method used

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  • Drug target identification method for depression and drug addiction diseases

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Effect test

Embodiment 1

[0027] A drug target identification method for depression and drug addiction diseases, comprising the following steps:

[0028] Step 1: Sample collection, take multiple samples of drug groups to be tested, and take multiple groups of effective cell samples for staining respectively. The cells include enzymes, ion channels, gene loci, receptors and nucleic acids. After fully fused with multiple groups of effective cells for 30 minutes, add different concentrations of lithium chloride respectively, detect the drug osmotic concentration curve every 30 minutes, and analyze the cell activity in the state of different concentrations of lithium salts, which can achieve the best results. The experimental group with long drug effect and stable cell activity is the optimal concentration of lithium chloride for addiction treatment;

[0029] Step 2: Component analysis: For the identification of drug targets, analyze the reagent with the optimal concentration of lithium chloride in step 1,...

Embodiment 2

[0034] A drug target identification method for depression and drug addiction diseases, comprising the following steps:

[0035] Step 1: Sample collection, take multiple samples of drug groups to be tested, and take multiple groups of effective cell samples for staining respectively. The cells include enzymes, ion channels, gene loci, receptors and nucleic acids. After fully fused with multiple groups of effective cells for 30 minutes, add different concentrations of lithium chloride respectively, detect the drug osmotic concentration curve every 30 minutes, and analyze the cell activity in the state of different concentrations of lithium salts, which can achieve the best results. The experimental group with long drug effect and stable cell activity is the optimal concentration of lithium chloride for addiction treatment;

[0036] Step 2: Component analysis: For the identification of drug targets, analyze the reagent with the optimal concentration of lithium chloride in step 1,...

Embodiment 3

[0042] A drug target identification method for depression and drug addiction diseases, comprising the following steps:

[0043] Step 1: Sample collection, take multiple samples of drug groups to be tested, and take multiple groups of effective cell samples for staining respectively. The cells include enzymes, ion channels, gene loci, receptors and nucleic acids. After fully fused with multiple groups of effective cells for 30 minutes, add different concentrations of lithium chloride respectively, detect the drug osmotic concentration curve every 30 minutes, and analyze the cell activity in the state of different concentrations of lithium salts, which can achieve the best results. The experimental group with long drug effect and stable cell activity is the optimal concentration of lithium chloride for addiction treatment;

[0044] Step 2: Component analysis: For the identification of drug targets, analyze the reagent with the optimal concentration of lithium chloride in step 1,...

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Abstract

The invention discloses a drug target recognition method for depression and drug addiction diseases. The method comprises the following steps: taking a plurality of to-be-detected drug group samples, taking a plurality of groups of effective cell samples for dyeing respectively, including enzyme, ion channels, gene loci, receptors and nucleic acid inside cells, after fully fusing different to-be-detected drug groups with multiple groups of effective cells for 30 min, adding lithium chloride with different concentrations, detecting a drug permeation concentration curve once every 30 min, carrying out cell activity analysis in the state that lithium salts with different concentrations are fused, and considering an experimental group with the longest drug effect and the stable cell activity to be the optimal concentration of lithium chloride for addiction treatment; According to the present invention, the detected position of the drug target A is re-separated and re-extracted to obtain the drug target in the pollution-free state, and the new anti-depression drug A is searched according to the specific components of the drug target.

Description

technical field [0001] The invention belongs to the technical field of drug target identification, and in particular relates to a drug target identification method for depression and drug addiction diseases. Background technique [0002] Addictive drugs refer to some prescription drugs commonly used clinically for anesthesia, analgesia, anti-anxiety, and anti-depression; these drugs have good curative effect when used rationally under the guidance of doctors, but if used in excess, they will cause euphoria, Continuous use will lead to severe physical and psychological dependence. Stopping the drug will lead to physiological dysfunction and withdrawal symptoms. The binding site between the drug and the biological macromolecules of the body is the drug target. , ion channels, transporters, immune system, genes, etc. In addition, some drugs play a role through their physical and chemical effects or supplement the substances that the body lacks. Among the existing drugs, more th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C12Q1/02A61K49/00
CPCG01N33/5008A61K49/0008
Inventor 胡贞贞邱天云王勇胜卢明芬
Owner NANCHANG UNIV
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