CryoDataBot

CryoDataBot is an automated pipeline designed to streamline dataset generation for cryogenic electron microscopy (cryoEM)-based atomic model building. It supports large-scale AI training and benchmarking by providing standardized tools for data retrieval, preprocessing, labeling, and quality control. CryoDataBot enables flexible configurations for diverse biomolecular structures, improves modeling reproducibility, and facilitates retraining of AI models such as U-Net and CryoREAD. It is open-source and optimized for structural biology applications in RNA and protein modeling.

Table of Contents

• Installation
• Usage
• Project Structure
• Features
• Contributing
• License

Installation

To install CryoDataBot:

one-liner:

git clone --branch temp https://github.com/t00shadow/CryoDataBot.git && cd CryoDataBot && pip install -r requirements.txt

step-by-step:

git clone --branch temp https://github.com/t00shadow/CryoDataBot.git
cd CryoDataBot
pip install -r requirements.txt

Usage

You can run the main GUI for CryoDataBot with the following command:

python -m cryodatabot