EnzyMine is built on Python web development framework, Django 1.6, with information stored in the PostgreSQL relational database. The front-end of the site is designed with HTML, CSS, Bootstrap, jQuery, and JavaScript. Two main types of search methods is allowed in EnzyMine including: EC number, uniport, prosite, pdb, enzyme name (searching from sequence to enzyme) and smiles, fragment, similarity, MCS(searching from molecular to enzyme). Those accurate search methods are completed by Haystack (http://haystacksearch.org/)- an open source and integrated full text search engine search framework of Django, and RDKit (http://www.rdkit.org/)- an open source chemical informatics and machine learning kit, providing C++ and python API interface.
In this report, we mined 7767 EC numbers, and displayed these enzymes with comprehensive sequence and structural feature visually in 267345 proteins sequence across 8058 organisms, along with deep calculated chemical feature in 9831 reactions. EnzyMine construct an comprehensive enzyme repository on sequence and structure data along with reaction rules extraction, reaction center visualization work.
The data provided is available for the intent of further research, thanks for using our database, more suggestions and questions are well welcomed.
EnzyMine is freely available to use in a non-commercial product by individuals, institutions, governments, corporations or other business entities so long as the use itself or any works derived from the use of the EnzyMine Database are not intended to generate sales or profit.Commercial use is one primarily intended for commercial advantage or monetary compensation. This means you cannot:
1.Directly sell or profit from the EnzyMine Database or from works derived from the EnzyMine Database
2.Use the EnzyMine Database internally for commercial product development
3.Use the EnzyMine Database as a component of a data product or within software to be made commercially available.
If you wish to use to use the EnzyMine Database for commercial purposes, please contact sundandan2017@sibs.ac.cn to inquire about a separate agreement.
Please contact us using our contact form to submit an error report. If you can, please list references for the corrected information. It will be of great help.