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Dokholyan

Showing results (11-20 of 413) with videos related to

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Trends in Genetics : TIG|June 27, 2006
The coordinated evolution of yeast proteins is constrained by functional modularityYiwen Chen, Nikolay V Dokholyan
Biophysical Journal|May 4, 2022
Toxic SOD1 trimers are off-pathway in the formation of amyloid-like fibrils in ALSBrianna Hnath, Nikolay V Dokholyan
Methods in Enzymology|March 2, 2015
Computational methods toward accurate RNA structure prediction using coarse-grained and all-atom modelsAndrey Krokhotin, Nikolay V Dokholyan
Chemical Communications (Cambridge, England)|December 11, 2025
Peptide-based drug design using generative AISrinivasan Ekambaram, Nikolay V Dokholyan
Biorxiv : the Preprint Server for Biology|April 27, 2026
Modular Deep Learning for Direct RNA Sequence Design via Self-Contained RNA UnitsJian Wang, Nikolay V Dokholyan
Proceedings of the National Academy of Sciences of the United States of America|December 5, 2008
Dynamical roles of metal ions and the disulfide bond in Cu, Zn superoxide dismutase folding and aggregationFeng Ding, Nikolay V Dokholyan
Biorxiv : the Preprint Server for Biology|July 14, 2025
Multimodal Bonds Reconstruction Towards Generative Molecular DesignJian Wang, Nikolay V Dokholyan
Journal of Chemical Information and Modeling|March 24, 2025
Leveraging Transfer Learning for Predicting Protein-Small-Molecule Interaction PredictionsJian Wang, Nikolay V Dokholyan
Journal of Chemical Information and Modeling|April 5, 2019
MedusaDock 2.0: Efficient and Accurate Protein-Ligand Docking With ConstraintsJian Wang, Nikolay V Dokholyan
Biorxiv : the Preprint Server for Biology|October 17, 2024
Leveraging Transfer Learning for Predicting Protein-Small Molecule InteractionsJian Wang, Nikolay V Dokholyan
Pageof 42

Showing results (11-20 of 413) with videos related to

Sort By:
Pageof 42
Trends in Genetics : TIG|June 27, 2006
The coordinated evolution of yeast proteins is constrained by functional modularityYiwen Chen, Nikolay V Dokholyan
Biophysical Journal|May 4, 2022
Toxic SOD1 trimers are off-pathway in the formation of amyloid-like fibrils in ALSBrianna Hnath, Nikolay V Dokholyan
Methods in Enzymology|March 2, 2015
Computational methods toward accurate RNA structure prediction using coarse-grained and all-atom modelsAndrey Krokhotin, Nikolay V Dokholyan
Chemical Communications (Cambridge, England)|December 11, 2025
Peptide-based drug design using generative AISrinivasan Ekambaram, Nikolay V Dokholyan
Biorxiv : the Preprint Server for Biology|April 27, 2026
Modular Deep Learning for Direct RNA Sequence Design via Self-Contained RNA UnitsJian Wang, Nikolay V Dokholyan
Proceedings of the National Academy of Sciences of the United States of America|December 5, 2008
Dynamical roles of metal ions and the disulfide bond in Cu, Zn superoxide dismutase folding and aggregationFeng Ding, Nikolay V Dokholyan
Biorxiv : the Preprint Server for Biology|July 14, 2025
Multimodal Bonds Reconstruction Towards Generative Molecular DesignJian Wang, Nikolay V Dokholyan
Journal of Chemical Information and Modeling|March 24, 2025
Leveraging Transfer Learning for Predicting Protein-Small-Molecule Interaction PredictionsJian Wang, Nikolay V Dokholyan
Journal of Chemical Information and Modeling|April 5, 2019
MedusaDock 2.0: Efficient and Accurate Protein-Ligand Docking With ConstraintsJian Wang, Nikolay V Dokholyan
Biorxiv : the Preprint Server for Biology|October 17, 2024
Leveraging Transfer Learning for Predicting Protein-Small Molecule InteractionsJian Wang, Nikolay V Dokholyan
Pageof 42