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Maciej Majewski

Showing results (11-20 of 25) with videos related to

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Materials (Basel, Switzerland)|May 13, 2026
Structural and Technological Aspects of Improving the Accuracy of Worm Gears in the Processes of Design, Manufacturing, and AssemblyWojciech Kacalak, Jacek Ponomarenkow, Katarzyna Tandecka, et al.
Arxiv|March 30, 2023
Validation of the Alchemical Transfer Method for the Estimation of Relative Binding Affinities of Molecular SeriesFrancesc Sabanés Zariquiey, Adrià Pérez, Maciej Majewski, et al.
Journal of Chemical Information and Modeling|April 12, 2023
Validation of the Alchemical Transfer Method for the Estimation of Relative Binding Affinities of Molecular SeriesFrancesc Sabanés Zariquiey, Adrià Pérez, Maciej Majewski, et al.
Journal of Chemical Information and Modeling|May 15, 2020
SkeleDock: A Web Application for Scaffold Docking in PlayMoleculeAlejandro Varela-Rial, Maciej Majewski, Alberto Cuzzolin, et al.
Environmental Science and Pollution Research International|November 30, 2024
Application of waste iron in wet flue gas desulfurization (WFGD) wastewater treatmentDominika Ścieżyńska, Maciej Majewski, Susmita Nath, et al.
Journal of Chemical Theory and Computation|March 17, 2021
TorchMD: A Deep Learning Framework for Molecular SimulationsStefan Doerr, Maciej Majewski, Adrià Pérez, et al.
Journal of Chemical Information and Modeling|January 3, 2022
PlayMolecule Glimpse: Understanding Protein-Ligand Property Predictions with Interpretable Neural NetworksAlejandro Varela-Rial, Iain Maryanow, Maciej Majewski, et al.
Scientific Reports|August 4, 2021
Nucleotide-decorated AuNPs as probes for nucleotide-binding proteinsOlga Perzanowska, Maciej Majewski, Malwina Strenkowska, et al.
Nucleic Acids Research|December 2, 2016
Cap analogs modified with 1,2-dithiodiphosphate moiety protect mRNA from decapping and enhance its translational potentialMalwina Strenkowska, Renata Grzela, Maciej Majewski, et al.
Nature Communications|September 15, 2023
Machine learning coarse-grained potentials of protein thermodynamicsMaciej Majewski, Adrià Pérez, Philipp Thölke, et al.
Pageof 3

Showing results (11-20 of 25) with videos related to

Sort By:
Pageof 3
Materials (Basel, Switzerland)|May 13, 2026
Structural and Technological Aspects of Improving the Accuracy of Worm Gears in the Processes of Design, Manufacturing, and AssemblyWojciech Kacalak, Jacek Ponomarenkow, Katarzyna Tandecka, et al.
Arxiv|March 30, 2023
Validation of the Alchemical Transfer Method for the Estimation of Relative Binding Affinities of Molecular SeriesFrancesc Sabanés Zariquiey, Adrià Pérez, Maciej Majewski, et al.
Journal of Chemical Information and Modeling|April 12, 2023
Validation of the Alchemical Transfer Method for the Estimation of Relative Binding Affinities of Molecular SeriesFrancesc Sabanés Zariquiey, Adrià Pérez, Maciej Majewski, et al.
Journal of Chemical Information and Modeling|May 15, 2020
SkeleDock: A Web Application for Scaffold Docking in PlayMoleculeAlejandro Varela-Rial, Maciej Majewski, Alberto Cuzzolin, et al.
Environmental Science and Pollution Research International|November 30, 2024
Application of waste iron in wet flue gas desulfurization (WFGD) wastewater treatmentDominika Ścieżyńska, Maciej Majewski, Susmita Nath, et al.
Journal of Chemical Theory and Computation|March 17, 2021
TorchMD: A Deep Learning Framework for Molecular SimulationsStefan Doerr, Maciej Majewski, Adrià Pérez, et al.
Journal of Chemical Information and Modeling|January 3, 2022
PlayMolecule Glimpse: Understanding Protein-Ligand Property Predictions with Interpretable Neural NetworksAlejandro Varela-Rial, Iain Maryanow, Maciej Majewski, et al.
Scientific Reports|August 4, 2021
Nucleotide-decorated AuNPs as probes for nucleotide-binding proteinsOlga Perzanowska, Maciej Majewski, Malwina Strenkowska, et al.
Nucleic Acids Research|December 2, 2016
Cap analogs modified with 1,2-dithiodiphosphate moiety protect mRNA from decapping and enhance its translational potentialMalwina Strenkowska, Renata Grzela, Maciej Majewski, et al.
Nature Communications|September 15, 2023
Machine learning coarse-grained potentials of protein thermodynamicsMaciej Majewski, Adrià Pérez, Philipp Thölke, et al.
Pageof 3