DietRx FAQs
Contact us if you have more questions
DietRx provides a platform for exploring health impacts of dietary ingredients by integrating interrelationships among food and key molecular agents. The resource assimilates dietary factors (food and chemicals), their health consequences (diseases) and genetic mechanisms to facilitate queries for investigating associations among these entities
DietRx comprises of four entities: Food, Disease, Chemical and Gene. The resource integrates evidence of associations among
these entities and facilitates in drawing inferences relating them.
DIetRx facilitates an elastic search to query food, disease, chemical and gene. Each of these could be flexibly queried using
standard/scientific/common symbols/names. The search results page for each of these entities provides
all relevant associations with the remaining entities (if available), and the tables themselves are searchable.
DietRx includes data of 2337 foods belonging to 25 food categories (plant, fruit, meat etc.).
Click here to view all the foods present in DietRx.
Click here to view all the foods present in DietRx.
DietRx uses the MEDIC disease vocabulary from
CTD (The Comparative Toxicogenomics Database).
MEDIC is a modified subset of U.S. National Library of Medicine's
MeSH® (Medical Subject Headings) terms present under the "Disease" [C] branch, combined with genetic disorders
from the
OMIM® (Online Mendelian Inheritance in Man®) database.
Click here to view all the diseases present in DietRx.
Click here to view all the diseases present in DietRx.
DietRx uses the MEDIC-Slim categorization of diseases, under which a MEDIC disease can belong to multiple Slim categories.
More info can be found
here.
The data of food-disease associations was text-mined from biomedical literature. Food-chemical associations were curated from
KNApSAcK, PhenolExlorer,
USDA,
DUKE, and
FooDB. Disease-Chemical and Chemical-Gene associations were curated from
CTD (The Comparative Toxicogenomics Database).
Disease-Gene associations were obtained through
DisGeNET. Further, we used one-hop-relations to infer associations between the entities.
An entity 'A' may be linked to another entity 'B' directly or through some other entity 'C'. Inferring associations between
'A' and 'B' involves traversing the association path from 'A' to 'C' and from 'C' to 'B'.
For example: Food-Gene associations may be inferred via 'Disease Terms' or via 'Chemicals'. The former refers to an indirect association in which the food is reported to be associated with a disease term which is further linked with the gene. And the latter refers to inferred association in which a chemical reported to be found in the food is linked with the gene.
For example: Food-Gene associations may be inferred via 'Disease Terms' or via 'Chemicals'. The former refers to an indirect association in which the food is reported to be associated with a disease term which is further linked with the gene. And the latter refers to inferred association in which a chemical reported to be found in the food is linked with the gene.
Positive food-disease associations refer to the beneficial effects whereas negative food-disease associations refer to the
adverse effects of the food against the disease. These associations were obtained through the text mining protocol involving
Named Entity Recognition for food and disease entities from the corpus of biomedical literature and machine learning models
built by training manually annotated data.
Therapeutic associations between chemical-disease refer to the beneficial effects of the chemical against the disease, whereas
marker/mechanism associations refer to situations where it's unknown whether the effects of the chemical are beneficial or adverse.
DietRx facilitates an elastic search to query food, disease, chemical and gene. The search algorithm is flexible enough to
allow for minor variations in spelling while retrieving the most appropriate results.
A "Download" button is provided at the top-left corner of every table. Clicking on it leads to downloads of all the data
present in the table.
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You may contact us at
bagler+DietRx@iiitd.ac.in for errata along with relevant references.
Additonally, you may also fill the following form:
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License.
All material on this website is a product of research and is provided for your information only and may not be construed
as medical advice or instruction. No action or inaction should be taken based solely on the contents of this information;
instead, readers should consult appropriate health professionals on any matter relating to their health and well-being.
| Name | Position | Affiliation | Contribution |
|---|---|---|---|
| Ganesh Bagler | Project Head | Center for Computational Biology, Indraprastha Institute of Information Technology (IIIT-Delhi), New Delhi | Idea conception, Project design and management, Database design and implementation |
| Rudraksh Tuwani | Research Assistant | Center for Computational Biology, Indraprastha Institute of Information Technology | Data Curation, Database design, Development of DietRx Web Resource, Data Visualisation and Data Analytics |
| Neelansh Garg | Summer Research Intern | Center for Computational Biology, Indraprastha Institute of Information Technology | Database design, Development of DietRx Web Resource |
| Rakhi N K | PhD Research Scholar | Department of Bioscience and Bioengineering, Indian Institute of Technology Jodhpur, Jodhpur | Manual data compilation, Annotation and curation, Quality Check, Analysis |
Rudraksh Tuwani†, Neelansh Garg†, Rakhi NK and Ganesh Bagler*, DietRx: An integrative resource to explore interrelationships among foods, diseases, genes and chemicals (2018),
http://cosylab.iiitd.edu.in/dietrx/ .
†Equal contribution *Corresponding Author
†Equal contribution *Corresponding Author