Method for analyzing enteritis prevention and treatment mechanism of herba houttuyniae based on network pharmacology and molecular docking

Abstract

The invention discloses a method for analyzing an enteritis prevention and treatment mechanism of herba houttuyniae based on network pharmacology and molecular docking, and relates to the technical field of molecular pharmacology. The method comprises the following steps: acquiring an intersection target of houttuynia cordata and enteritis by utilizing a network pharmacology method, carrying out protein-protein interaction network (PPI) analysis on the intersection target through an STRING database, carrying out gene ontology (GO) and KEGG analysis by utilizing a David database, constructing a houttuynia cordata active ingredient-enteritis target-signal path network diagram by utilizing Cytoscape software, and constructing an enteritis enteritis target-signal path network diagram. And carrying out docking verification on the effective active components and the key target spots by using a molecular docking technology. According to the application disclosed by the invention, the enteritis prevention and treatment mechanism of the herba houttuyniae is analyzed by utilizing network pharmacology and a molecular docking technology, a molecular docking result shows that active ingredients and core targets of the herba houttuyniae have relatively good binding activity, the herba houttuyniae can be used for preventing and treating enteritis diseases through mutual coordination of multiple ingredients, multiple targets and multiple paths, and a new thought is provided for prevention and treatment of the enteritis diseases.

Description

Technical Field

[0001] The invention relates to the technical field of molecular pharmacology, and in particular to a method for analyzing the mechanism of houttuynia cordata in preventing and treating enteritis based on network pharmacology and molecular docking. Background Art

[0002] Enteritis is inflammation of the small intestine and colitis caused by bacteria, viruses, fungi and parasites, and also includes non-infectious enteritis caused by poisoning, long-term use of antibiotics, immune factors and environmental factors. The most common clinical manifestations are fever, abdominal pain, diarrhea, and bloody stools with mucus, pus and blood. In severe cases, they can lead to dehydration, acid-base imbalance and electrolyte disorders, and even endanger life. At present, antibiotics, steroids and non-steroidal anti-inflammatory drugs are mostly used for enteritis diseases, but due to the disadvantages of drug residues and toxic side effects, such drugs not only seriously affect human health, but also cause serious environmental pollution problems. Therefore, there is an urgent need to develop new health drugs to relieve enteritis and improve intestinal health.

[0003] Houttuynia cordata is pungent in taste, cold in nature, and belongs to the lung meridian. It can clear away heat and detoxify, reduce swelling and treat sores, promote diuresis and remove dampness, clear away heat and stop dysentery, and strengthen the stomach and digestion. It is used to treat lung abscesses, sores, swelling and poison, hemorrhoids, blood in stool, and heat accumulation in the spleen and stomach caused by real heat, heat toxins, dampness, and rapid heat. Modern pharmacological experiments have shown that it has antibacterial, antiviral, immunity-enhancing, and diuretic effects. In vitro and in vivo experiments have confirmed that Houttuynia cordata has good anti-inflammatory activity. It is commonly used in the treatment of inflammatory diseases such as respiratory tract infections, conjunctivitis, acute and chronic rhinitis, and urinary tract inflammation. In addition, Houttuynia cordata, as a traditional Chinese medicine for clearing heat and detoxification, is also commonly used in the prevention and treatment of enteritis. However, the mechanism of Houttuynia cordata in preventing and treating enteritis is still unclear.

[0004] Network pharmacology is a method commonly used in the study of traditional Chinese medicine and traditional Chinese medicine compound in recent years to explore the core components and functions. It can complete the exploration of pharmacological substances and mechanisms through the multi-level connection of the "active ingredient-target-disease" network. Molecular docking can provide important technology for the field of drug research. It can simulate the affinity, binding mode and binding site between molecules. By connecting drug components and target proteins, their interaction relationship is established. It is widely used in the field of drug verification and research, and can verify the prediction results of network pharmacology.

[0005] Therefore, analyzing the mechanism of Houttuynia cordata in preventing and treating enteritis through network pharmacology and molecular docking technology is an urgent problem that needs to be solved by technical personnel in this field. Summary of the invention

[0006] The present invention provides a method for analyzing the mechanism of Houttuynia cordata in preventing and treating enteritis based on network pharmacology and molecular docking, aiming to solve the problems existing in the above-mentioned background technology.

[0007] In order to achieve the above technical objectives, the present invention mainly adopts the following technical solutions:

[0008] The present invention discloses a method for analyzing the mechanism of houttuynia cordata for preventing and treating enteritis based on network pharmacology and molecular docking, comprising the following steps:

[0009] Step 1, first determine the effective active ingredients of Houttuynia cordata, then screen the target sites of the effective active ingredients of Houttuynia cordata, and convert the target site names into standard gene names;

[0010] Step 2: Use the gene database GeneCards to screen for enteritis disease targets, draw a Venn diagram of drug targets and enteritis disease targets, and obtain intersection targets as potential targets for Houttuynia cordata to prevent and treat enteritis;

[0011] Step 3, import the intersection target data into the STRING database, construct the protein interaction network PPI, and then use Cytoscape to construct PPI concentric circles to screen core targets according to degree values;

[0012] Step 4: Import the intersection target data into the annotation, visualization and integrated discovery database DAVID, perform GO analysis and KEGG enrichment analysis, and draw a graph of the analysis results;

[0013] Step 5: According to the prediction results of the targets and signal pathways of the effective active ingredients of Houttuynia cordata, the corresponding relationships between active ingredients and targets, and targets and signal pathways are established, and then imported into the Cytoscape software to construct a network diagram of active ingredients, targets and signal pathways, and clarify the relationship between the active ingredients, targets and signal pathways of Houttuynia cordata;

[0014] Step 6: Perform “active ingredient-target” molecular docking.

[0015] In a preferred embodiment of the present invention, in step 1, the Houttuynia components screened from the TCMSP database are set with oral bioavailability ≥ 30% and drug-like properties ≥ 0.18, and the Houttuynia components supplemented by literature search are also used as potential effective active ingredients of Houttuynia.

[0016] Furthermore, seven Houttuynia cordata components that met the conditions of oral bioavailability ≥ 30% and drug-like properties ≥ 0.18 were screened, namely, isothermacon, kaempferol, 1-methyl-2-nononyl-4-quinolone, xanthoside A, C09747, spinasterol and quercetin; the Houttuynia cordata components supplemented by literature search were rutin, chlorogenic acid and houttuynia cordata.

[0017] Furthermore, the targets were predicted through the Swiss Target Prediction database, and finally 9 effective active ingredients were obtained, namely, isothermacon, kaempferol, 1-methyl-2-nonanyl-4-quinolone, xanthocyanidin, spinasterol, quercetin, rutin, chlorogenic acid and houttuynia cordata. After merging and removing duplicates, a total of 259 targets were obtained.

[0018] In a preferred embodiment of the present invention, in step 2, targets with correlation scores greater than 2 times the median are screened in the gene database GeneCards as enteritis disease targets, a total of 1,625.

[0019] Furthermore, there are 90 overlapping targets between enteritis disease targets and Houttuynia cordata active ingredient targets.

[0020] In a preferred embodiment of the present invention, in step 3, the core targets are those with a degree value greater than 40, namely IL6, AKT1, TNF, EGFR, STAT3, SRC, HSP90AA1, ESR1, MMP9, PTGS2, MTOR, and MAPK1.

[0021] In a preferred embodiment of the present invention, in step 4, the intersection target data is imported into the DAVID database, and P<0.05 is used as the screening condition to analyze and obtain the GO functional enrichment map and the KEGG pathway map, wherein GO takes the top 10 entries with P values ​​from small to large for visualization, and KEGG takes the top 20 entries with smaller P values ​​to draw a bubble map.

[0022] In a preferred embodiment of the present invention, in step 5, Cytoscape software is used to construct a network diagram of Houttuynia cordata active ingredients-enteritis targets-signaling pathways, and the degree values ​​corresponding to the active ingredients of Houttuynia cordata are analyzed and obtained. The top three active ingredients are isothermacon, kaempferol and quercetin.

[0023] Furthermore, in step 6, before molecular docking, the structure of the effective active ingredient obtained needs to be energy minimized using Chem3D software, and the obtained protein structure needs to be dehydrated, deliganded, and hydrogenated using PyMOL and Autodock software before molecular docking. The top three active ingredients of Houttuynia cordata with the highest degree values ​​in the network analysis diagram, namely, isothermalone, kaempferol, and quercetin, are used as ligands, and the top five target proteins with the highest degree values ​​in the PPI network diagram, namely, IL6, AKT1, TNF, EGFR, and STAT3, are used as receptors for molecular docking.

[0024] Compared with the prior art, the present invention has the following beneficial effects:

[0025] The present invention uses network pharmacology and molecular docking technology to analyze the mechanism of Houttuynia cordata in preventing and treating enteritis. The molecular docking results show that the active ingredients of Houttuynia cordata have good binding activity with the core targets. Houttuynia cordata can prevent and treat enteritis diseases through the coordination of multiple components, multiple targets and multiple pathways, providing a new idea for the prevention and treatment of enteritis diseases. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 This is the Venn diagram of Houttuynia cordata active ingredient targets and enteritis targets;

[0027] Figure 2 This is the PPI network diagram of potential targets of Houttuynia cordata active ingredients in preventing and treating enteritis;

[0028] Figure 3 This is the concentric circle PPI network diagram of Houttuynia cordata active ingredients-enteritis intersection targets;

[0029] Figure 4 Column chart for GO functional enrichment analysis;

[0030] Figure 5 Bubble diagram for KEGG signaling pathway enrichment analysis;

[0031] Figure 6 This is the network diagram of Houttuynia cordata active ingredients-enteritis targets-signaling pathways;

[0032] Figure 7 This is the heat map of the docking binding energy between the active ingredients of Houttuynia cordata and the core target molecules;

[0033] Figure 8 This is a diagram of quercetin binding to TNF protein. DETAILED DESCRIPTION

[0034] In order to have a clearer understanding of the technical features, purposes and beneficial effects of the present invention, the technical scheme of the present invention is described in detail below in conjunction with specific embodiments and drawings. It should be understood that these examples are only used to illustrate the present invention and are not used to limit the scope of the present invention.

[0035] The present invention uses a network pharmacology method to obtain the intersection targets of houttuynia cordata and enteritis, performs protein interaction network (PPI) analysis on the intersection targets through the STRING database, uses the David database to perform gene ontology (GO) and KEGG analysis, uses Cytoscape software to construct a houttuynia cordata active ingredient-enteritis target-signaling pathway network diagram, and uses molecular docking technology to perform docking verification on the effective active ingredients and key targets. The results showed that the active ingredients of Houttuynia cordata for preventing and treating enteritis include isothermacon, kaempferol, 1-methyl-2-nonanoyl-4-quinolone, xanthocyanin A, spinasterol, quercetin, rutin, chlorogenic acid and houttuynia cordata, which can act on interleukin 6 (IL6), serine / threonine protein kinase 1 (AKT1), tumor necrosis factor α (TNF), epidermal growth factor receptor (EGFR), signal transducer and activator of transcription 3 (STAT3), SRC proto-oncogene non-receptor tyrosine kinase (SRC), heat shock protein 90α family class A member 1 (HSP90AA1), estrogen receptor 1 (ESR1), matrix metalloproteinase 9 (MMP-9), and protease inhibitory hormone (PHE). 9), prostaglandin endoperoxide synthase 2 (PTGS2), mammalian target of rapamycin (MTOR), mitogen-activated protein kinase 1 (MAPK1) and other key targets; 473 GO functional enrichment entries, including 347 biological processes, 55 cellular components, and 71 molecular functions; 146 KEGG pathway entries, the mechanism of Houttuynia cordata in preventing and treating enteritis mainly involves cancer pathways, epidermal growth factor receptor tyrosine kinase inhibitory resistance, endocrine resistance, Kaposi sarcoma-associated herpes virus infection, phosphatidylinositol 3-kinase-protein kinase B signaling pathway, etc.; molecular docking results showed that the active ingredients of Houttuynia cordata had good binding activity with the core targets.

[0036] The following is an explanation through specific embodiments.

[0037] A method for analyzing the mechanism of Houttuynia cordata in preventing and treating enteritis based on network pharmacology and molecular docking, comprising the following steps:

[0038] Step 1, first determine the effective active ingredients of Houttuynia cordata, then screen the target sites of the effective active ingredients of Houttuynia cordata, and convert the target site names into standard gene names;

[0039] In this step, search for "Houttuynia cordata" in the TCMSP database and analysis platform for traditional Chinese medicine systems pharmacology (https: / / old.tcmsp-e.com / tcmsp.php), set oral bioavailability (OB) ≥ 30% and drug-likeness (DL) ≥ 0.18, and supplement the literature through CNKI and PubMed to determine the effective active ingredients of Houttuynia cordata. The molecular structure of the active ingredient was searched through the PubChem (https: / / pubchem.ncbi.nlm.nih.gov / ) database, and imported into the Swiss TargetPrediction database (http: / / www.swisstargetprediction.ch / ) to predict the target of the active ingredient of Houttuynia cordata. The protein information database Uniprot (http: / / www.uniprot.org / ) was used to convert the target name into a standard gene name.

[0040] Results A total of 50 active ingredients of Houttuynia cordata were retrieved through TCMSP database, and 7 of them met the conditions of OB≥30% and DL≥0.18, namely, isothermacon, kaempferol, 1-methyl-2-nonanyl-4-quinolone, xanthoside A, C09747, spinasterol and quercetin. Literature search revealed that rutin, chlorogenic acid and houttuynia cordata in Houttuynia cordata had inhibitory effects on enteritis. Targets were predicted by Swiss Target Prediction database, and it was found that C09747 had no corresponding target, so 9 effective active ingredients were finally obtained (Table 1), and a total of 259 targets were obtained after merging and removing duplicates.

[0041] Table 1 Effective active ingredients of Houttuynia cordata

[0042]

[0043]

[0044] Step 2: Use the gene database GeneCards to screen for enteritis disease targets, draw a Venn diagram of drug targets and enteritis disease targets, and obtain intersection targets as potential targets for Houttuynia cordata to prevent and treat enteritis;

[0045] In this step, targets with correlation scores greater than 2 times the median were selected in the gene database GeneCards as targets for enteritis. The obtained drug target data and disease target data were then imported into the Micro-Informatics Online Platform (https: / / www.bioinformatics.com.cn / ) to draw a Venn diagram, and the intersection targets were obtained as potential targets for Houttuynia cordata to prevent and treat enteritis.

[0046] Results A total of 9916 targets were obtained by searching "enteritis" in the GeneCards database, and 1625 targets for enteritis were obtained by screening based on the correlation scores. The 259 targets corresponding to the 9 active ingredients of Houttuynia cordata and the 1625 targets for enteritis were imported into the Microbiology Information Online Platform for Venn diagram drawing, and a total of 90 intersection targets were obtained, such as Figure 1 shown.

[0047] Step 3, import the intersection target data into the STRING database, construct the protein interaction network PPI, and then use Cytoscape to construct PPI concentric circles to screen core targets according to degree values;

[0048] Specifically, in this step, the intersection target data were imported into the STRING database (http: / / cn.string-db.org / ), the species was selected as "Homo sapiens", a protein-protein interaction network (PPI) was constructed, the generated TSV format file was imported into the Cytoscape 3.7.1 software for visualization analysis, PPI concentric circles were constructed, the network topology characteristics were analyzed using the "Network Analyzer" function, and the core targets were screened according to the degree value (Degree).

[0049] In the present invention, 90 intersection targets were imported into the STRING database to obtain the target PPI network diagram of Houttuynia cordata for preventing and treating enteritis, as shown in Figure 2 As shown in the figure, the number of nodes is 90, the number of edges is 974, the average node degree is 21.6, the average local clustering coefficient is 0.603, and the PPI enrichment P value is less than 1.0×10 -16 . Use Cytoscape software to draw a concentric circle PPI network diagram, such as Figure 3 As shown in the figure, according to the degree values, the core targets with degree values ​​greater than 40 were obtained, namely interleukin 6 (IL6), serine / threonine protein kinase 1 (AKT1), tumor necrosis factor α (TNF), epidermal growth factor receptor (EGFR), signal transducer and activator of transcription 3 (STAT3), SRC proto-oncogene non-receptor tyrosine kinase (SRC), heat shock protein 90α family class A member 1 (HSP90AA1), estrogen receptor 1 (ESR1), matrix metalloproteinase 9 (MMP9), prostaglandin endoperoxide synthase 2 (PTGS2), mammalian target of rapamycin (MTOR), and mitogen-activated protein kinase 1 (MAPK1).

[0050] Step 4: Import the intersection target data into the annotation, visualization and integrated discovery database DAVID, perform GO analysis and KEGG enrichment analysis, and draw a graph of the analysis results;

[0051] Specifically, in this step, the intersection target data were imported into the annotation, visualization and integrated discovery database DAVID (http: / / david.ncifcrf.gov / summary.jsp), the species was selected as "Homo sapiens", and Gene Ontology (GO) functional enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed, and the mapping was performed through the Micro-Bioinformation Online Platform (www.bioinformtics.com.cn).

[0052] In the present invention, 90 intersection targets were imported into the DAVID database, and P<0.05 was used as the screening condition. 473 GO function enrichment items were obtained, including 347 biological processes (BP), 55 cellular components (CC), and 71 molecular functions (MF). The top 10 items from small to large P values ​​were taken for visualization, as shown in Figure 2. Figure 4 As shown, the results showed that BP mainly included phosphorylation, protein phosphorylation, signal transduction, response to exogenous stimuli, positive regulation of phosphatidylinositol 3-kinase / protein kinase B signal transduction, etc.; CC mainly involved plasma membrane, membrane rafts, receptor complexes, cytosol, cell surface, etc.; MF mainly included ATP binding, protein tyrosine kinase activity, kinase activity, protein kinase activity, same protein binding, etc.

[0053] 146 KEGG pathway entries were screened (P<0.05), and the top 20 entries with smaller P values ​​were drawn into a bubble chart, as shown in Figure 5 As shown, the results showed that the mechanism of Houttuynia cordata in preventing and treating enteritis mainly involved cancer pathways, epidermal growth factor receptor tyrosine kinase inhibitory resistance, endocrine resistance, Kaposi sarcoma-associated herpes virus infection, phosphatidylinositol 3-kinase-protein kinase B signaling pathway, non-small cell lung cancer, prostate cancer, cancer proteoglycans, hepatitis B, central carbon metabolism in cancer, human cytomegalovirus infection, pancreatic cancer, glycation end products and their receptor signaling pathways in diabetic complications, chemical carcinogenesis-receptor activation, hypoxia-inducible factor 1 signaling pathway, cancer PD-L1 expression and PD-1 checkpoint pathway, prolactin signaling pathway, tumor necrosis factor signaling pathway, glioma, lipid and atherosclerosis pathways.

[0054] Step 5: According to the prediction results of the targets and signal pathways of the effective active ingredients of Houttuynia cordata, the corresponding relationships between active ingredients-targets and targets-signal pathways are established in an Excel table, and then imported into the Cytoscape software to construct a network diagram of drug active ingredients-targets-signal pathways to clarify the relationship between the active ingredients, targets and signal pathways of Houttuynia cordata;

[0055] Cytoscape software was used to construct a network diagram of Houttuynia cordata active ingredients-enteritis targets-signaling pathways. Figure 6 The network involved 121 nodes (1 Chinese medicine, 9 active ingredients, 90 targets, 20 pathways and 1 disease) and 532 edges. It can be seen that Houttuynia cordata has a coordinated effect on enteritis through multiple components, multiple targets and multiple pathways. The degree values ​​corresponding to the active ingredients of Houttuynia cordata were obtained by analysis. The top three active ingredients were isothermacon, kaempferol and quercetin, which may be the main active ingredients of Houttuynia cordata for preventing and treating enteritis.

[0056] Step 6: Perform “active ingredient-target” molecular docking.

[0057] Specifically, in this step, the structure of the effective active ingredient of Houttuynia cordata is first downloaded from the TCMSP database, and energy minimization is performed using Chem3D software. Then, the protein structure of the key target is downloaded from the protein structure database PDB (http: / / www.rcsb.org / ), and saved in PDB format. After the protein is dehydrated, deliganded, and hydrogenated using PyMOL and Autodock software, molecular docking is performed.

[0058] Specifically, the top three active ingredients of Houttuynia cordata with the highest degree values ​​in the network analysis diagram, namely, isothermalone, kaempferol and quercetin, were used as ligands, and the top five target proteins with the highest degree values ​​in the PPI network diagram, namely, IL6, AKT1, TNF, EGFR and STAT3, were used as receptors for molecular docking. The results showed that the molecular docking binding energy of all combinations was less than -5 kcal / mol. Figure 7 As shown in the figure, it shows that the active ingredients of Houttuynia cordata can stably bind to the core targets. Among them, quercetin has the lowest binding energy with TNF. The docking results are processed with PyMOL for visualization. Figure 8 As shown, quercetin forms strong interactions with ARG-103, CYS-101, and GLU-116 amino acids in the active site of the TNF protein.

[0059] In conclusion, Houttuynia cordata can prevent and treat enteritis through the coordination of multiple components, multiple targets and multiple pathways.

[0060] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for analyzing the mechanism of Houttuynia cordata in preventing and treating enteritis based on network pharmacology and molecular docking, characterized in that: The steps include: Step 1, first determine the effective active ingredients of Houttuynia cordata, then screen the target sites of the effective active ingredients of Houttuynia cordata, and convert the target site names into standard gene names; Step 2: Use the gene database GeneCards to screen for enteritis disease targets, draw a Venn diagram of drug targets and enteritis disease targets, and obtain intersection targets as potential targets for Houttuynia cordata to prevent and treat enteritis; Step 3, import the intersection target data into the STRING database, construct the protein interaction network PPI, and then use Cytoscape to construct PPI concentric circles to screen core targets according to degree values; Step 4: Import the intersection target data into the annotation, visualization and integrated discovery database DAVID, perform GO analysis and KEGG enrichment analysis, and draw a graph of the analysis results; Step 5: According to the prediction results of the targets and signal pathways of the effective active ingredients of Houttuynia cordata, the corresponding relationships between active ingredients and targets, and targets and signal pathways are established, and then imported into the Cytoscape software to construct a network diagram of active ingredients, targets and signal pathways, and clarify the relationship between the active ingredients, targets and signal pathways of Houttuynia cordata; Step 6: Perform "active ingredient-target" molecular docking.

2. The method for analyzing the mechanism of Houttuynia cordata for preventing and treating enteritis based on network pharmacology and molecular docking according to claim 1, characterized in that: In step 1, the Houttuynia cordata components screened in the TCMSP database were set with oral bioavailability ≥ 30% and drug-likeness ≥ 0.18, and the Houttuynia cordata components supplemented by literature search were also used as potential effective active ingredients of Houttuynia cordata.

3. The method for analyzing the mechanism of Houttuynia cordata for preventing and treating enteritis based on network pharmacology and molecular docking according to claim 2, characterized in that: Seven Houttuynia cordata components that met the conditions of oral bioavailability ≥ 30% and drug-like properties ≥ 0.18 were screened, namely, isothermacon, kaempferol, 1-methyl-2-nononyl-4-quinolone, xanthoside A, C09747, spinasterol and quercetin; the Houttuynia cordata components supplemented by literature search were rutin, chlorogenic acid and houttuynia cordata.

4. The method for analyzing the mechanism of Houttuynia cordata for preventing and treating enteritis based on network pharmacology and molecular docking according to claim 3, characterized in that: Targets were predicted using the Swiss Target Prediction database, and nine effective active ingredients were eventually obtained, namely, isothermacon, kaempferol, 1-methyl-2-nonanyl-4-quinolone, xanthophylloside A, spinasterol, quercetin, rutin, chlorogenic acid and houttuynia cordata. After merging and removing duplicates, a total of 259 targets were obtained.

5. The method for analyzing the mechanism of Houttuynia cordata for preventing and treating enteritis based on network pharmacology and molecular docking according to claim 1, characterized in that: In step 2, targets with correlation scores greater than 2 times the median were screened in the gene database GeneCards as enteritis disease targets, totaling 1,625.

6. The method for analyzing the mechanism of Houttuynia cordata for preventing and treating enteritis based on network pharmacology and molecular docking according to claim 5, characterized in that: There are 90 overlapping targets between enteritis disease targets and Houttuynia cordata active ingredient targets.

7. The method for analyzing the mechanism of Houttuynia cordata for preventing and treating enteritis based on network pharmacology and molecular docking according to claim 1, characterized in that: In step 3, the core targets were those with a degree value greater than 40, which were IL6, AKT1, TNF, EGFR, STAT3, SRC, HSP90AA1, ESR1, MMP9, PTGS2, MTOR, and MAPK1.

8. The method for analyzing the mechanism of Houttuynia cordata for preventing and treating enteritis based on network pharmacology and molecular docking according to claim 1, characterized in that: In step 4, the intersection target data were imported into the DAVID database, and P<0.05 was used as the screening condition to analyze and obtain the GO functional enrichment map and KEGG pathway map, wherein the GO took the top 10 entries with the smallest P value to be visualized, and the KEGG took the top 20 entries with the smallest P value to draw a bubble map.

9. The method for analyzing the mechanism of Houttuynia cordata for preventing and treating enteritis based on network pharmacology and molecular docking according to claim 1, characterized in that: In step 5, Cytoscape software was used to construct a network diagram of Houttuynia cordata active ingredients-enteritis targets-signaling pathways, and the degree values ​​corresponding to the active ingredients of Houttuynia cordata were analyzed and obtained. The top three active ingredients were isothermalone, kaempferol, and quercetin.

10. The method for analyzing the mechanism of Houttuynia cordata for preventing and treating enteritis based on network pharmacology and molecular docking according to claim 9, characterized in that: In step 6, before molecular docking, the structure of the effective active ingredient obtained needs to be energy minimized using Chem3D software, and the obtained protein structure needs to be dehydrated, deliganded, and hydrogenated using PyMOL and Autodock software before molecular docking. The top three active ingredients of Houttuynia cordata with the highest degree value in the network analysis diagram, namely, isothermalone, kaempferol, and quercetin, are used as ligands, and the top five target proteins with the highest degree value in the PPI network diagram, namely, IL6, AKT1, TNF, EGFR, and STAT3, are used as receptors for molecular docking.

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