DeepProtein documentation

DeepProtein is a comprehensive deep learning library and benchmark designed to fill these gaps:

• Comprehensive Benchmarking: Evaluating CNNs, RNNs, transformers, and GNNs on 7 essential protein learning tasks, such as function prediction and antibody developability.

• User-friendly Interface: Simplifying execution with one command for all tasks.

• Enhanced Accessibility: Extensive documentation and tutorials for reproducible research.

The Github repository is located here.

Background

• Features of DeepProtein
• What kind of task type does DeepProtein Consider

Install DeepProtein

• Download Code & Install

Get Started

• Examples
• Case Study

Tutorials

• Notebooks

Package Reference

• Models
• Dataset
• Chem Utils
• One Liner
• Model Helper
• Utils

Importance Function

• Model
• Encoder
• Process Data
• Configuration
• Utility Function