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Artur Meller

Showing results (1-10 of 20) with videos related to

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Journal of Chemical Theory and Computation|March 22, 2023
Accelerating Cryptic Pocket Discovery Using AlphaFoldArtur Meller, Soumendranath Bhakat, Shahlo Solieva, et al.
Materials (Basel, Switzerland)|November 13, 2021
New Copper Alloys Used to Make Products Intended for Contact with Drinking WaterMichał Chruściński, Szymon Szkudelski, Jacek Borowski, et al.
Protein Science : a Publication of the Protein Society|February 15, 2024
Toward physics-based precision medicine: Exploiting protein dynamics to design new therapeutics and interpret variantsArtur Meller, Devin Kelly, Louis G Smith, et al.
Materials (Basel, Switzerland)|January 11, 2025
Effect of Surface Finishing and Nitriding on the Wetting Properties of Hot Forging ToolsJan Kapuściński, Łukasz Macyszyn, Michał Zielinski, et al.
Materials (Basel, Switzerland)|May 11, 2024
The Influence of Surface Texture of Elements Made of PA6-Based Composites on Anti-Graffiti Effect of Paint CoatingAdrian Mróz, Maciej Szymański, Paweł Koch, et al.
Elife|June 2, 2020
Conformational distributions of isolated myosin motor domains encode their mechanochemical propertiesJustin R Porter, Artur Meller, Maxwell I Zimmerman, et al.
Nature Communications|May 22, 2021
Deep learning the structural determinants of protein biochemical properties by comparing structural ensembles with DiffNetsMichael D Ward, Maxwell I Zimmerman, Artur Meller, et al.
Frontiers in Molecular Biosciences|May 5, 2023
Discovery of a cryptic pocket in the AI-predicted structure of PPM1D phosphatase explains the binding site and potency of its allosteric inhibitorsArtur Meller, Saulo De Oliveira, Aram Davtyan, et al.
Biorxiv : the Preprint Server for Biology|March 30, 2023
Discovery of a cryptic pocket in the AI-predicted structure of PPM1D phosphatase explains the binding site and potency of its allosteric inhibitorsArtur Meller, Saulo de Oliveira, Aram Davtyan, et al.
Nature Communications|March 1, 2023
Predicting locations of cryptic pockets from single protein structures using the PocketMiner graph neural networkArtur Meller, Michael Ward, Jonathan Borowsky, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
Journal of Chemical Theory and Computation|March 22, 2023
Accelerating Cryptic Pocket Discovery Using AlphaFoldArtur Meller, Soumendranath Bhakat, Shahlo Solieva, et al.
Materials (Basel, Switzerland)|November 13, 2021
New Copper Alloys Used to Make Products Intended for Contact with Drinking WaterMichał Chruściński, Szymon Szkudelski, Jacek Borowski, et al.
Protein Science : a Publication of the Protein Society|February 15, 2024
Toward physics-based precision medicine: Exploiting protein dynamics to design new therapeutics and interpret variantsArtur Meller, Devin Kelly, Louis G Smith, et al.
Materials (Basel, Switzerland)|January 11, 2025
Effect of Surface Finishing and Nitriding on the Wetting Properties of Hot Forging ToolsJan Kapuściński, Łukasz Macyszyn, Michał Zielinski, et al.
Materials (Basel, Switzerland)|May 11, 2024
The Influence of Surface Texture of Elements Made of PA6-Based Composites on Anti-Graffiti Effect of Paint CoatingAdrian Mróz, Maciej Szymański, Paweł Koch, et al.
Elife|June 2, 2020
Conformational distributions of isolated myosin motor domains encode their mechanochemical propertiesJustin R Porter, Artur Meller, Maxwell I Zimmerman, et al.
Nature Communications|May 22, 2021
Deep learning the structural determinants of protein biochemical properties by comparing structural ensembles with DiffNetsMichael D Ward, Maxwell I Zimmerman, Artur Meller, et al.
Frontiers in Molecular Biosciences|May 5, 2023
Discovery of a cryptic pocket in the AI-predicted structure of PPM1D phosphatase explains the binding site and potency of its allosteric inhibitorsArtur Meller, Saulo De Oliveira, Aram Davtyan, et al.
Biorxiv : the Preprint Server for Biology|March 30, 2023
Discovery of a cryptic pocket in the AI-predicted structure of PPM1D phosphatase explains the binding site and potency of its allosteric inhibitorsArtur Meller, Saulo de Oliveira, Aram Davtyan, et al.
Nature Communications|March 1, 2023
Predicting locations of cryptic pockets from single protein structures using the PocketMiner graph neural networkArtur Meller, Michael Ward, Jonathan Borowsky, et al.
Pageof 2