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app.py
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a given protein target. We demonstrate state-of-the-art performance over previous methods on multiple
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well-known benchmarks, particularly in zero-shot settings for unseen protein targets. This app demonstrates the
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model as a retrieval task of the top-k most active drug compounds predicted for a given query target.
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'''
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}
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st.image('figures/hyper-dti.png', caption='Overview of the HyperPCM architecture.', use_column_width='always')
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def retrieval():
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a given protein target. We demonstrate state-of-the-art performance over previous methods on multiple
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well-known benchmarks, particularly in zero-shot settings for unseen protein targets. This app demonstrates the
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model as a retrieval task of the top-k most active drug compounds predicted for a given query target.
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## Citation
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Please cite our work using the following reference.
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"""bibtex
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@article{svensson2024hyperpcm,
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title={{HyperPCM: Robust Task-Conditioned Modeling of Drug--Target Interactions}},
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author={Svensson, Emma and Hoedt, Pieter-Jan and Hochreiter, Sepp and Klambauer, G{\"u}nter},
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journal={Journal of Chemical Information and Modeling},
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publisher={ACS Publications},
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year={2024}
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}
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"""
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'''
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}
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st.image('figures/hyper-dti.png', caption='Overview of the HyperPCM architecture.', use_column_width='always')
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st.markdown(
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"""
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### Citation
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Please cite our work using the following reference.
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'''bibtex
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@article{svensson2024hyperpcm,
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title={{HyperPCM: Robust Task-Conditioned Modeling of Drug--Target Interactions}},
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author={Svensson, Emma and Hoedt, Pieter-Jan and Hochreiter, Sepp and Klambauer, G{\"u}nter},
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journal={Journal of Chemical Information and Modeling},
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publisher={ACS Publications},
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year={2024}
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}
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'''
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"""
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def retrieval():
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