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Samuel W Canner

Showing results (1-10 of 12) with videos related to

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Biorxiv : the Preprint Server for Biology|March 30, 2023
Structure-Based Neural Network Protein-Carbohydrate Interaction Predictions at the Residue LevelSamuel W Canner, Sudhanshu Shanker, Jeffrey J Gray
Frontiers in Bioinformatics|July 6, 2023
Structure-based neural network protein-carbohydrate interaction predictions at the residue levelSamuel W Canner, Sudhanshu Shanker, Jeffrey J Gray
The Journal of Physical Chemistry. B|November 23, 2021
Molecular Organization of a Raft-like Domain in a Polyunsaturated Phospholipid Bilayer: A Supervised Machine Learning Analysis of Molecular Dynamics SimulationsSamuel W Canner, Scott E Feller, Stephen R Wassall
Biorxiv : the Preprint Server for Biology|March 31, 2025
Predictions from Deep Learning Propose Substantial Protein-Carbohydrate InterplaySamuel W Canner, Ronald L Schnaar, Jeffrey J Gray
Proceedings of the National Academy of Sciences of the United States of America|May 18, 2026
Predictions from deep learning propose substantial protein-carbohydrate interplaySamuel W Canner, Ronald L Schnaar, Jeffrey J Gray
Biorxiv : the Preprint Server for Biology|September 15, 2025
Evaluation of De Novo Deep Learning Models on the Protein-Sugar InteractomeSamuel W Canner, Lei Lu, Sho S Takeshita, et al.
The Journal of Physical Chemistry. B|October 1, 2025
α-Tocopherol and a Polyunsaturated Phospholipid Prefer Each Other's Company in Mixed Membranes with Raft-Forming Sphingomyelin and Cholesterol: MD SimulationsSamuel W Canner, Patrick Kelley, Alexander Q Phillips, et al.
Biochimica Et Biophysica Acta. Biomembranes|January 7, 2018
All n-3 PUFA are not the same: MD simulations reveal differences in membrane organization for EPA, DHA and DPAXiaoling Leng, Jacob J Kinnun, Andres T Cavazos, et al.
Proteins|September 22, 2025
Docking With Rosetta and Deep Learning Approaches in CAPRI Rounds 47-55Ameya Harmalkar, Lee-Shin Chu, Samuel W Canner, et al.
Journal of Agricultural and Food Chemistry|February 14, 2024
Thermostability Enhancement of GH 62 α-l-Arabinofuranosidase by Directed Evolution and Rational DesignManoela Martins, Alberto M Dos Santos, Clauber H S da Costa, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Biorxiv : the Preprint Server for Biology|March 30, 2023
Structure-Based Neural Network Protein-Carbohydrate Interaction Predictions at the Residue LevelSamuel W Canner, Sudhanshu Shanker, Jeffrey J Gray
Frontiers in Bioinformatics|July 6, 2023
Structure-based neural network protein-carbohydrate interaction predictions at the residue levelSamuel W Canner, Sudhanshu Shanker, Jeffrey J Gray
The Journal of Physical Chemistry. B|November 23, 2021
Molecular Organization of a Raft-like Domain in a Polyunsaturated Phospholipid Bilayer: A Supervised Machine Learning Analysis of Molecular Dynamics SimulationsSamuel W Canner, Scott E Feller, Stephen R Wassall
Biorxiv : the Preprint Server for Biology|March 31, 2025
Predictions from Deep Learning Propose Substantial Protein-Carbohydrate InterplaySamuel W Canner, Ronald L Schnaar, Jeffrey J Gray
Proceedings of the National Academy of Sciences of the United States of America|May 18, 2026
Predictions from deep learning propose substantial protein-carbohydrate interplaySamuel W Canner, Ronald L Schnaar, Jeffrey J Gray
Biorxiv : the Preprint Server for Biology|September 15, 2025
Evaluation of De Novo Deep Learning Models on the Protein-Sugar InteractomeSamuel W Canner, Lei Lu, Sho S Takeshita, et al.
The Journal of Physical Chemistry. B|October 1, 2025
α-Tocopherol and a Polyunsaturated Phospholipid Prefer Each Other's Company in Mixed Membranes with Raft-Forming Sphingomyelin and Cholesterol: MD SimulationsSamuel W Canner, Patrick Kelley, Alexander Q Phillips, et al.
Biochimica Et Biophysica Acta. Biomembranes|January 7, 2018
All n-3 PUFA are not the same: MD simulations reveal differences in membrane organization for EPA, DHA and DPAXiaoling Leng, Jacob J Kinnun, Andres T Cavazos, et al.
Proteins|September 22, 2025
Docking With Rosetta and Deep Learning Approaches in CAPRI Rounds 47-55Ameya Harmalkar, Lee-Shin Chu, Samuel W Canner, et al.
Journal of Agricultural and Food Chemistry|February 14, 2024
Thermostability Enhancement of GH 62 α-l-Arabinofuranosidase by Directed Evolution and Rational DesignManoela Martins, Alberto M Dos Santos, Clauber H S da Costa, et al.
Pageof 2