Reproduce datasets and figures for paper [Computational Decoding of Human Kinome Substrate Specificities and Functions]
The function modules for python-katlas is available at: https://github.com/sky1ove/katlas
To run notebooks successfully, install dev
version of python-katlas:
pip install 'python-katlas[dev]' -U
We recommend using a CUDA-enabled environment for efficient protein embedding extraction and deep learning model training.
Run import torch; torch.cuda.is_available()
to check cuda
availability.
After installation, git clone this repository through:
git clone https://github.com/sky1ove/katlas_raw.git
Then to go to nbs
folder and run notebooks:
cd nbs
Notebooks in the nbs folder can be visualized at: