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

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Bibliographic Details
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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