GraphPro is a versatile and pluggable OO python library designed for leveraging deep graph learning representations to gain insights into structural proteins and their conformations. With its wide range of functionalities, we provide a comprehensive framework for researchers and practitioners to explore and analyze complex protein structures.
GraphPro harnesses the power of deep learning techniques specifically tailored for graph data, enabling users to capture and model intricate relationships within protein structures. By representing proteins as graphs, where nodes correspond to atoms and edges denote pairwise interactions, DeepGraph facilitates the extraction of valuable structural information.
One of the key advantages of GraphPro is its pluggable nature, which allows users to seamlessly integrate different components and modules. This flexibility empowers researchers to experiment with various deep learning architectures, graph neural networks, and graph representation learning methods. Users can easily customize and combine these modules to fit their specific research needs and optimize their analyses.
Using pip:
pip install graphpro
You can access the documentation of this packages under the following link: Read the docs
Fernandez. P, Dantu, S.C, Pandini. A. "GraphPro: a python framework for protein deep geometrical learning". 2023
FAQs
A python module to handle graph protein data
We found that graphpro demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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