Team Zoonii - QMUL MSc Bioinformatics Kinase Kinpendium: Software Group Development Project Kinase Kinpendium was developed by Team Zoonii – a group of 3 students that are part of the MSc Bioinformatics Programme at Queen Mary University of London, under the supervision of Professor Conrad Bessant and Dr Fabrizio Smeraldi.

Kinase Kinpendium is a database that allows the user to explore kinase-substrate relationships, kinase-inhibitor relationships, and the neighboring genetic environment of phosphosites. Additionally, Kinase Kinpendium includes a data analysis tool that allows the user to upload experimental phosphoproteomics data and produces several visualisations to represent kinase activity.

Website Link http://Kinase-Kinpendium.us-east-2.elasticbeanstalk.com

Getting Started To run on your localhost please download the directory 'kinase_kin'.

Once downloaded please open and run the 'db_creation.py' to create and populate the database called 'KinaseDatabaseV1.db'.

The packages required Python 3.7.0 Flask 1.1.1 Flask-SQLAlchemy 2.4.1 Flask-Table 0.5.0 Flask-WTF 0.14.2 Jinja2 2.10.3 jupyter 1.0.0 pandas 0.25.1 requests 2.21.0 beautifulsoup4 4.8.0 bokeh 1.3.4

To install these:

pip install Python
pip install Flask
pip install Flask-SQLAlchemy
pip install Flask-Table
pip install Flask-WTF
pip install Jinja2
pip install jupyter
pip install pandas
pip install requests
pip install beautifulsoup4
pip install bokeh

Running the website In your commandline open the 'kinase_kin' directory and run the following command:

python export FLASK_APP=main.py python flask run Copy the localhost URL and paste it into your browser.

This would lead you to the homepage of 'Kinase Kinpendium'. For full instructions read our documentation.

Authors Mohomed Ali - MuhammadAli-ai Numaan Akbar Iqbar - Numzy97 Zoonii Kayler - zooniikayler Raz -

Acknowledgments Thank you to Professor Conrad Bessant and Dr Fabrizio Smeraldi for your support.