Users can input drug name (can be common name, synonyms, SMILES, InChIKey, or drug ID).
To do a drug structure search, users can draw a structure and then generate a SMILES string on this page.
Follow the steps below to perform a search:
① Utilize the various tools on the panel to draw the compound structure.
② Click the "Generate SMILES" button to generate the SMILES string of the structure.
③ Adjust the size of the Tanimoto Similarity Threshold by sliding the slider or entering a specific value.
④ Click the "Search" button to search the top 10 NPs based on Tanimoto similarity threshold.
Users can input food name (can be food name, scientific name or food ID). This search supports both exact search and fuzzy search.
DDID provides a group search method for food. The first drop-down list includes food groups (animal food, baked goods, beverages, fruits, vegetables), and the second drop-down list breaks down the main categories into subcategories. Users can use the content of these two drop-down lists to search for food.
Users can input herb name (can be Herb Latin Name, herb English name, herb Chinese name, herb ID). This search supports both exact search and fuzzy search.
DDID provides a taxonomy lineage search method. The first drop-down list includes the family (Fabaceae, Euphorbiaceae, Caprifoliaceae, Ranunculaceae, Lamiaceae), and the second drop-down list includes the Genus under each family. Users can use the contents of these two drop-down lists to search for herb.
Tree view presents distinct commonly used drugs with different indications. Users can expand a section of interest to delve deeper into the hierarchy and retrieve specific entries at the last node.
Tree view presents distinct hierarchies of food classification. Users can expand a section of interest to delve deeper into the hierarchy and retrieve specific entries at the last node.
Tree view presents distinct hierarchies of herb classification. Users can expand a section of interest to delve deeper into the hierarchy and retrieve specific entries at the last node.
The tree chart collapses the final nodes representing species. Users can expand the solid nodes by clicking on them, allowing access to the corresponding entries.
The drug page displays (1) basic information of the drug, treatment indications, treatment targets, (2) structural information of the drug and other database links, (3) food/herb-drug interaction relationship diagram, (4) detailed data of food/herb-drug interaction.
(1) Basic information of the drug, treatment indications, treatment targets
(2) Structural information of the drug and other database links
(3) Food/herb-drug interaction relationship diagram
① A rough explanation of the connotation of each node.
② In the food secondary node, it is the name of the food group, and in the herbal secondary node, it is the name of the family. When the mouse moves over it, the information floating page can be viewed.
③ Food, herbs, and drugs as the three main nodes in the interaction.
④ The last node uses different colored lines to reflect the mutual relationship evaluation. Place the mouse over the node to see its specific name, and click to jump to the corresponding food and herb pages
(4) Detailed data of food/herb-drug interaction
Despite inconsistent external conditions, DDID has assessed the impact of 22,266 interactions, classifying them as positive, negative, no effect, harmful, and possible. Due to the low conversion rate of animal experiments (8%), evaluations are generally classified as having no effect and possible. For clinical trials, the grading scale is formulated based on the FDA's relative experimental standards for FDI, i.e. for AUC, a bioequivalence range of 80-125% between the two is applied within the 90% CI range of the total exposure. Hazard assessment is generally applied to interactions that give the impression of therapeutic efficacy or have significant side effects.
The drug page displays (1) basic information of the herb, taxonomy lineage and other database links, (2) herb-drug interaction relationship diagram, (3) detailed data of herb-drug interaction, (4) Herb Individual Ingredients
(1) Basic information of the herb, taxonomy lineage and other database links
(2) Herb-drug interaction relationship diagram
① A rough explanation of the connotation of each node.
② In the drug terminal node, when the mouse moves over it, you can view the information floating page, and click to go to the relevant drug page.
③ Herb and drug as the two main nodes in the interaction.
(3) Detailed data of herb-drug interaction.
Despite inconsistent external conditions, DDID has assessed the impact of 22,266 interactions, classifying them as positive, negative, no effect, harmful, and possible. Due to the low conversion rate of animal experiments (8%), evaluations are generally classified as having no effect and possible. For clinical trials, the grading scale is formulated based on the FDA's relative experimental standards for FDI, i.e. for AUC, a bioequivalence range of 80-125% between the two is applied within the 90% CI range of the total exposure. Hazard assessment is generally applied to interactions that give the impression of therapeutic efficacy or have significant side effects.
(4) Herb Individual Ingredients
The drug page displays (1) basic information of the food, (2) food/herb-drug interaction relationship diagram, (3) detailed data of food/herb-drug interaction.
(1) Basic information of the food
(2) Food-drug interaction relationship diagram
① A rough explanation of the connotation of each node.
② In the drug terminal node, when the mouse moves over it, you can view the information floating page, and click to go to the relevant drug page.
③ Food and drug as the two main nodes in the interaction.
(3) Detailed data of food/herb-drug interaction
Despite inconsistent external conditions, DDID has assessed the impact of 22,266 interactions, classifying them as positive, negative, no effect, harmful, and possible. Due to the low conversion rate of animal experiments (8%), evaluations are generally classified as having no effect and possible. For clinical trials, the grading scale is formulated based on the FDA's relative experimental standards for FDI, i.e. for AUC, a bioequivalence range of 80-125% between the two is applied within the 90% CI range of the total exposure. Hazard assessment is generally applied to interactions that give the impression of therapeutic efficacy or have significant side effects.