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# ProLigGPT
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A generative drug design model based on GPT2.
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<img src="https://img.shields.io/github/license/LIYUESEN/ProLigGPT"><img src="https://img.shields.io/badge/python-3.8-blue">
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## 🚩 Introduction
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ProLigGPT presents a ligand design strategy based on the autoregressive model, GPT, focusing on chemical space exploration and the discovery of ligands for specific proteins. Deep learning language models have shown significant potential in various domains including protein design and biomedical text analysis, providing strong support for the proposition of ProLigGPT.
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# ProLigGPT
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A generative drug design model based on GPT2.
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<img src="https://img.shields.io/github/license/LIYUESEN/ProLigGPT"><img src="https://img.shields.io/badge/python-3.8-blue"><a href="https://colab.research.google.com/drive/1lxDpEGz9498tGvEi7nSgryXI4haMKMhc"><img src="https://colab.research.google.com/assets/colab-badge.svg"></a>
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## 🚩 Introduction
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ProLigGPT presents a ligand design strategy based on the autoregressive model, GPT, focusing on chemical space exploration and the discovery of ligands for specific proteins. Deep learning language models have shown significant potential in various domains including protein design and biomedical text analysis, providing strong support for the proposition of ProLigGPT.
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