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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - biology
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+ - chemistry
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+ - IntFold
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+ - biomolecular-structure-prediction
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+ ---
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+ <!-- ![IntFold Cover](assets/intfold-cover.png) -->
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+
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+ # IntFold
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+ [![HuggingFace Models](https://img.shields.io/badge/%F0%9F%A4%97%20HuggingFace-Models-yellow)](https://huggingface.co/GAGABIG/CNN)
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+ [![PyPI](https://img.shields.io/pypi/v/intfold)](https://pypi.org/project/intfold/)
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+ [![License](https://img.shields.io/badge/license-Apache%202.0-blue)](LICENSE)
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+ [![Email](https://img.shields.io/badge/Email-Contact-lightgrey?logo=gmail)](#contact-us)
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+
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+
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+ <div align="center" style="margin: 20px 0;">
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+ <span style="margin: 0 10px;">⚡ <a href="https://server.intfold.com">IntFold Server</a></span>
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+ &bull; <span style="margin: 0 10px;">📄 <a href="xxxxx">Technical Report</a></span>
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+ </div>
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+
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+
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+ **IntFold:** An open-source PyTorch implementation of [AlphaFold 3](https://www.nature.com/articles/s41586-024-07487-w). Predict biomolecular structures with state-of-the-art accuracy in a flexible framework.
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+
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+
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+
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+ ## 🚀 Quick Start
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+
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+ To quickly get started with IntFold, you can use the following commands:
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+ ```bash
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+ # Install IntFold from PyPI
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+ pip install intfold
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+ # Run inference with an example YAML file
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+ intfold predict ./examples/5S8I_A.yaml --out_dir ./output
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+ ```
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