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DDMut: predicting effects of mutations on protein stability using deep learning.

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Title: DDMut: predicting effects of mutations on protein stability using deep learning.
Authors: Zhou Y; School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Australia.; Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia., Pan Q; School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Australia.; Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia., Pires DEV; School of Computing and Information Systems, University of Melbourne, Melbourne, Victoria, Australia., Rodrigues CHM; School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Australia.; Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia., Ascher DB; School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Australia.; Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Source: Nucleic acids research [Nucleic Acids Res] 2023 Jul 05; Vol. 51 (W1), pp. W122-W128.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 0411011 Publication Model: Print Cited Medium: Internet ISSN: 1362-4962 (Electronic) Linking ISSN: 03051048 NLM ISO Abbreviation: Nucleic Acids Res Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Zhou+Y%22">Zhou Y</searchLink>; School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Australia.; Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.<br /><searchLink fieldCode="AU" term="%22Pan+Q%22">Pan Q</searchLink>; School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Australia.; Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.<br /><searchLink fieldCode="AU" term="%22Pires+DEV%22">Pires DEV</searchLink>; School of Computing and Information Systems, University of Melbourne, Melbourne, Victoria, Australia.<br /><searchLink fieldCode="AU" term="%22Rodrigues+CHM%22">Rodrigues CHM</searchLink>; School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Australia.; Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.<br /><searchLink fieldCode="AU" term="%22Ascher+DB%22">Ascher DB</searchLink>; School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Australia.; Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
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  Data: <searchLink fieldCode="JN" term="%220411011%22">Nucleic acids research</searchLink> [Nucleic Acids Res] 2023 Jul 05; Vol. 51 (W1), pp. W122-W128.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Oxford+University+Press%22">Oxford University Press </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>0411011 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1362-4962 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2203051048%22">03051048 </searchLink><i>NLM ISO Abbreviation: </i>Nucleic Acids Res <i>Subsets: </i>MEDLINE
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        Value: 10.1093/nar/gkad472
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      – Code: eng
        Text: English
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              Text: 2023 Jul 05
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