Key pathway and key target screening method based on network pharmacology

Abstract

The invention discloses a key pathway and key target screening method based on network pharmacology, and the method comprises the steps: collecting a compound, a drug prediction target and a disease target in a drug, and obtaining alternative targets; preliminarily screening alternative pathways; constructing a corresponding PPI network by using each obtained target point of each path; calculatingto obtain the importance of the pathway key gene; constructing a PPI network of the overall target point, and counting the number of network connection edges; segmenting a sub-network formed by all the target points enriched on the ith path, and counting the number of edges; calculating the importance degree of the path under the synergistic effect of multiple paths to obtain the influence degreeof the path; carrying out deviation standardization on the pathway key gene importance degree and pathway influence degree indexes of each pathway, and taking the enriched alternative target points on the key pathway as key target points. According to the method, the attributes and the synergistic effect of the pathways are described more accurately, and pathways related to diseases and enrichedkey targets of the pathways can be screened out more efficiently and accurately.

Description

technical field [0001] The invention relates to a screening technology for key pathways in network pharmacology, in particular to a screening method for key pathways and key targets based on network pharmacology. Background technique [0002] The concept of network pharmacology (network pharmacology) was proposed by Hopkins in 2007, trying to analyze the relationship between drugs, targets, pathways and diseases through network methods to design drugs with multiple pharmacological effects, efficient and accurate Screening drug action pathways and targets is the core part of network pharmacology. When traditional network pharmacology screens drug action pathways and targets, it sorts the candidate targets according to the degree values ​​obtained in the PPI network, and selects targets that are more than twice the median degree value or above the inflection point as the key target. Then use the database to predict the pathway information corresponding to the key target. The...

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Problems solved by technology

[0005] In view of the fact that the evaluation of the important pathways and targets of drug action in the prior art cannot comprehensively screen out the specific signaling pathways directly related to the disease, and there are deficiencies such as bias in the scr

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