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@@ -62,7 +62,7 @@ This application demonstrates a drug discovery pipeline that allows users to:
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  ## License
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- This project is licensed under the terms of the MIT license. This project was created for demonstration purposes.
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  ## Attributions and Acknowledgments
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@@ -70,16 +70,17 @@ This project is licensed under the terms of the MIT license. This project was cr
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  This project utilizes data from the ChEMBL Database, licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
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  Zdrazil B, Felix E, Hunter F, et al. The ChEMBL Database in 2023: a drug discovery platform spanning multiple bioactivity data types and time periods. Nucleic Acids Research. 2024;52(D1)
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  . doi:10.1093/nar/gkad1004
 
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  ### SAFE Encoding
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-
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  This project uses the SAFE Encoding framework, licensed under the Apache License 2.0.
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  Noutahi E, Gabellini C, Craig M, Lim JS, Tossou P. Gotta be SAFE: A New Framework for Molecular Design. arXiv preprint arXiv:2310.10773, 2023.
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- ADMET-AI
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  ### This project utilizes the ADMET-AI platform for predicting ADMET properties. ADMET-AI is licensed under the MIT License.
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  Swanson K, Walther P, Leitz J, et al. ADMET-AI: A machine learning ADMET platform for evaluation of large-scale chemical libraries. bioRxiv. 2023. doi:10.1101/2023.12.28.573531
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  RDKit
 
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  ### This project uses RDKit: Open-source cheminformatics software.
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  RDKit: Open-source cheminformatics. https://www.rdkit.org
 
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  ## License
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+ This project is licensed under the terms of the MIT license.
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  ## Attributions and Acknowledgments
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  This project utilizes data from the ChEMBL Database, licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
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  Zdrazil B, Felix E, Hunter F, et al. The ChEMBL Database in 2023: a drug discovery platform spanning multiple bioactivity data types and time periods. Nucleic Acids Research. 2024;52(D1)
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  . doi:10.1093/nar/gkad1004
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+ https://www.ebi.ac.uk/chembl/
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  ### SAFE Encoding
 
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  This project uses the SAFE Encoding framework, licensed under the Apache License 2.0.
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  Noutahi E, Gabellini C, Craig M, Lim JS, Tossou P. Gotta be SAFE: A New Framework for Molecular Design. arXiv preprint arXiv:2310.10773, 2023.
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+ https://github.com/datamol-io/safe
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  ### This project utilizes the ADMET-AI platform for predicting ADMET properties. ADMET-AI is licensed under the MIT License.
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  Swanson K, Walther P, Leitz J, et al. ADMET-AI: A machine learning ADMET platform for evaluation of large-scale chemical libraries. bioRxiv. 2023. doi:10.1101/2023.12.28.573531
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  RDKit
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+ https://admet.ai.greenstonebio.com/
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  ### This project uses RDKit: Open-source cheminformatics software.
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  RDKit: Open-source cheminformatics. https://www.rdkit.org