(CEV = ContentMine, EssoilDB and Verriclear, the 3 organizations which have started this project).
This project aims to mine the whole Open scientific literature for plant chemistry (phytochemistry). It's inspired by Gitanjali Yadav's (GY) EssoilDB project http://www.nipgr.ac.in/Essoildb/ and heavily reliant on the content and contributors. While EssoilDB V1.0 used manual entry of data, mainly from closed access papers, CEV will crawl the Open Access (OA) literature and automatically extract plant and chemical data. We have no idea how successful this will be (that's research), but initial searches suggest that there are many thousands of OA phytochemical papers and it's OA that has made this project possible.
Phytochemical medicine is something that everyone understands at a general level and a high school student can soon understand the principles: * plants produce a mixture of chemicals (often oils) * oils from plants are used to treat or prevent diseases, kill insects and other biological activities
However judgments as to whether the published conclusions are valid requires much experience and knowledge of the field . If people wish to volunteer they will need to show they are proficient in plant science/medicinal chemistry/data science.
We hope that we will be able to create a rapid proof of concept (PoC), which will give an indication of what phytochemical activites can be retrieved from the literature with current tools (a "scoping review"). It is NOT be a medically quotable result. It will also allow https://en.wikipedia.org/wiki/Content_analysis (the sectioning and labelling of parts of the document). Ultimately this will lead to the identification of the most important scientific objects in the document ("entities"). In time these will be incorporated into dictionaries which can automatically label objects such as * diseases * instruments and procedures * drugs * countries * institutions
NOTE: all software and materials are release under Open licences (Apache-2, CC BY, CC0, GPL2). You may use anything in the project without permission (but we require acknowledgment by using the URL of this page).
ContentMine (https://contentmine.org). was funded by
the Shuttleworth Foundation (Fellowship to PMR) and Rik Smith-Unna created the
critically important getpapers search and retrieval software. PMR created the
AMI software for analyzing downloaded materials locally.
http://www.nipgr.ac.in/Essoildb/ Dr. Gitanjali Yadav Computational Biology Laboratory, National Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi - 110067, India
Email: gy@nipgr.ac.in Phone: +91-11-26735103
"We hope that this huge repository of essential oil profiles will facilitate unraveling of the true significance of volatiles in plants, along with creating potential avenues for industrial applications of essential oils. The data is available freely without any login requirement."
Because EssoilDB is created for free re-use we thank Gitanjali and NIPGR for the data in EssoilDB 1.0 (2019-08). Any additions and enhancements can be taken by EssoilDB and incorporated in later versions.
https://verriclear.com/, founded by Emanuel Faria (EF), creates 100% plant-based natural skincare formulations for skin conditions. Verriclear Natural Skin Essentials Ltd., an innovative developer of phytotherapy skincare products derived from bioactive plant extracts from around the world. With headquarters in Canada and Brazil, Verriclear’s mandate is to consistently bring to market new reliable, affordable innovations that deliver demonstrable results that global-scale competitor’s simply can’t — or won’t, because they’re products (read: profits) focus on managing symptoms rather than eliminating causes.
Initially the project data will be created/extracted by EF and PMR; GY as advisor. We welcome volunteers of all ages; noting that Lars Willighagen while at secondary school did a great ContentMine project. However our time for training is very limited and you take us as you find us.