Neuropeptide receptor screening method

Abstract

The invention discloses a neuropeptide receptor screening method. According to the principle of statistics, the genomic sequencing result P after FDR correction is required to be less than 0.05 and the selection basis of the gene differential expression multiple is that the effect intensity generated by ligand-receptor binding is in direct proportion to the quantity of occupied receptors; a protein model is established by adopting protein homologous modeling technologies; and three most comprehensive homologous modeling technologies such as SWISS-MODEL, MODELLER and PHYRE2 in an evaluation system are comprehensively applied, so that the problem of low model quality caused by single modelling technology is avoided. According to the neuropeptide receptor screening method, the setting requirements of technical parameters are clear and the docking areas are precise in the molecular docking process; after the docking succeeds, the docking needs to be optimized through geometric matching and a molecular dynamics method; through interaction, critical evaluation and molecular force field evaluation functions are predicted to obtain a docking complex score; and through the verification of the comprehensive expression quantity and the analysis of the molecular characteristics and functions of the neuropeptide receptors, the candidate receptors are determined.

Description

technical field [0001] The invention relates to the technical fields of neuropeptide biology, animal physiological regulation, and drug target screening research, in particular to a method for neuropeptide receptor screening. Background technique [0002] The study of receptor interaction and regulation mechanism has opened up new ideas. Neuropeptides serve as important chemical messengers between neurons, performing the actions of neuromodulators, neurotransmitters and neurohormones. Neuropeptides are widely distributed in animals, indicating the diversity and complexity of biological functions, which are mainly reflected in: 1) the large number of neuropeptides; 2) the same neuropeptide has multiple functions, and the same target organ (target tissue or target 3) The same neuropeptide has different functions depending on the animal species, dose, and action site; 4) The same neuropeptide has different effects on different effector cells and can produce multiple effects. ...

AI Technical Summary

Problems solved by technology

[0005] At present, the screening of neuropeptide receptors mostly adopts traditional large-scale screening methods, such as yeast two-hybrid, bacterial two-hybrid, protein chip and immunoaffinity technology. The problems of false positive and false negative in the results are prominent, and there are many interference factors, which make it difficult to determine the receptors in the later stage

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