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Predicting changes in protein thermodynamic stability upon point mutation with deep 3D convolutional neural networks
View ORCID ProfileBian Li, Yucheng T. Yang, View ORCID ProfileJohn A. Capra, View ORCID ProfileMark B. Gerstein
doi: https://doi.org/10.1101/2020.02.28.959874
Bian Li
1Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA
2Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA
4Department of Biological Sciences and Vanderbilt Genetics Institute, Vanderbilt University, Nashville, TN 37235, USA
Yucheng T. Yang
1Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA
2Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA
John A. Capra
4Department of Biological Sciences and Vanderbilt Genetics Institute, Vanderbilt University, Nashville, TN 37235, USA
Mark B. Gerstein
1Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA
2Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA
3Department of Computer Science, Yale University, New Haven, CT 06520, USA
Posted August 04, 2020.
Predicting changes in protein thermodynamic stability upon point mutation with deep 3D convolutional neural networks
Bian Li, Yucheng T. Yang, John A. Capra, Mark B. Gerstein
bioRxiv 2020.02.28.959874; doi: https://doi.org/10.1101/2020.02.28.959874
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