SpiceRx FAQs

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SpiceRx integrates evidence-based knowledge pertaining to the health impacts of culinary spices and herbs and their phytochemicals. It provides a systematic compilation of tripartite relationships between culinary spices/herbs, their phytochemicals and diseases.
SpiceRx is a resource of triangular relationships among Spices/Herbs, their Phytochemicals and Disease associations. It facilitates three types of queries, based on spices/herbs, diseases and phytochemicals. Given one of these, SpiceRx displays relationships with the remaining two.
SpiceRx data was compiled starting with a total of 188 culinary spices and herbs that are used in recipes across the world regions. Out of which 152 were found to have disease associations in the literature.

Click here to view all the spices/herbs present in SpiceRx.
SpiceRx includes data of 866 phytochemicals from 142 (of the 181 investigated) culinary spices and were compiled from PhenolExlorer and KNApSAcK. Out of these, 570 of phytochemicals were found to be bioactive. The phytochemicals were involved in 2042 spice-phytochemical associations.

Click here to view all the phytochemicals present in SpiceRx.
Spice-Disease associations were are text mined from 23 million MEDLINE abstracts indexed in PubMed till July 2017.
A dictionary of culinary herbs and spices were compiled for different sources such as FooDB (http://foodb.ca) Wikipedia (https://en.wikipedia.org/wiki/List_of_culinary_herbs_and_spices) PFAF (Plants For A Future, (http://www.pfaf.org/user/Default.aspx), FPI (Food Plants International, http://foodplantsinternational.com ) and FlavorDB (http://cosylab.iiitd.edu.in/flavordb).
MeSH is a controlled vocabulary of biomedical terms curated and developed by National Library of Medicine. MeSH classifies diseases into a logical hierarchy of Disease Categories, Disease Subcategories and Diseases.
SpiceRx supports all modern web browsers.
SpiceRx is implemented with the Python web development framework Django and PostgreSQL. The frontend was built using HTML, CSS, JavaScript, AJAX, jQuery(v1.12.4), JSME Molecular Editor, Bootstrap(v4.0.2), Jmol, DataTables and Google Charts. An Apache HTTP Server has been used to route requests to the Django application and to enable data compression for faster page load times.
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The data of SpiceRx can be downloaded from here.
Jmol: an open-source Java viewer for chemical structures in 3D. http://www.jmol.org/
Jmol does not require 3D acceleration plugins. Jmol returns a 3D representation of a molecule that may be used as a teaching tool, or for research e.g. in chemistry and biochemistry. It is free and open source software, written in Java and so it runs on Windows, Mac OS X, Linux and Unix systems. Few technical advantages of Jmol are:
  • Molecular 3D visualisation
  • Zooming facilities
  • Provision to download the viewed molecule in mol2 format
For further information please visit the Jmol website: here
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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
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 Research Assistant Center for Computational Biology, Indraprastha Institute of Information Technology Text Mining, Database design, Development of SpiceRx Web Resource, Data Visualisation and Data Analytics
Neelansh Garg Summer Research Intern USICT, Guru Gobind Singh Indraprastha University, New Delhi Database design, Development of SpiceRx Web Resource, Data Visualisation and Data Analytics
Jagriti Mukherjee M.Tech student Center for Computational Biology, Indraprastha Institute of Information Technology (IIIT-Delhi), New Delhi Annotations