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Kenneth Atz

Showing results (11-20 of 32) with videos related to

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Science Advances|June 12, 2021
Combining generative artificial intelligence and on-chip synthesis for de novo drug designFrancesca Grisoni, Berend J H Huisman, Alexander L Button, et al.
Molecular Informatics|January 23, 2025
Simple User-Friendly Reaction FormatDavid F Nippa, Alex T Müller, Kenneth Atz, et al.
RSC Advances|November 21, 2024
Combining <i>de novo</i> molecular design with semiempirical protein-ligand binding free energy calculationMichael Iff, Kenneth Atz, Clemens Isert, et al.
Nature Communications|January 7, 2023
Leveraging molecular structure and bioactivity with chemical language models for de novo drug designMichael Moret, Irene Pachon Angona, Leandro Cotos, et al.
Pharmaceutical Patent Analyst|June 11, 2021
Cannabinoid receptor type 2 ligands: an analysis of granted patents since 2010Benjamin Brennecke, Thais Gazzi, Kenneth Atz, et al.
Chemistry (Weinheim an Der Bergstrasse, Germany)|January 27, 2025
Discovery of 1,3,4-Oxadiazin-5-One Derivative CJ1-34 as a Partial ATP Synthase Inhibitor for CNS ApplicationsCaitlin V M L Jie, Aro Delparente, Lisa Reichert, et al.
Computational and Structural Biotechnology Journal|August 7, 2024
G-<i>PLIP</i>: Knowledge graph neural network for structure-free protein-ligand bioactivity predictionSimon J Crouzet, Anja Maria Lieberherr, Kenneth Atz, et al.
RSC Medicinal Chemistry|July 19, 2024
Geometric deep learning-guided Suzuki reaction conditions assessment for applications in medicinal chemistryKenneth Atz, David F Nippa, Alex T Müller, et al.
Communications Chemistry|November 21, 2023
Identifying opportunities for late-stage C-H alkylation with high-throughput experimentation and in silico reaction screeningDavid F Nippa, Kenneth Atz, Alex T Müller, et al.
Biochemical Pharmacology|March 15, 2023
Allosteric targeting resolves limitations of earlier LFA-1 directed modalitiesRiccardo V Mancuso, Gisbert Schneider, Marianne Hürzeler, et al.
Pageof 4

Showing results (11-20 of 32) with videos related to

Sort By:
Pageof 4
Science Advances|June 12, 2021
Combining generative artificial intelligence and on-chip synthesis for de novo drug designFrancesca Grisoni, Berend J H Huisman, Alexander L Button, et al.
Molecular Informatics|January 23, 2025
Simple User-Friendly Reaction FormatDavid F Nippa, Alex T Müller, Kenneth Atz, et al.
RSC Advances|November 21, 2024
Combining <i>de novo</i> molecular design with semiempirical protein-ligand binding free energy calculationMichael Iff, Kenneth Atz, Clemens Isert, et al.
Nature Communications|January 7, 2023
Leveraging molecular structure and bioactivity with chemical language models for de novo drug designMichael Moret, Irene Pachon Angona, Leandro Cotos, et al.
Pharmaceutical Patent Analyst|June 11, 2021
Cannabinoid receptor type 2 ligands: an analysis of granted patents since 2010Benjamin Brennecke, Thais Gazzi, Kenneth Atz, et al.
Chemistry (Weinheim an Der Bergstrasse, Germany)|January 27, 2025
Discovery of 1,3,4-Oxadiazin-5-One Derivative CJ1-34 as a Partial ATP Synthase Inhibitor for CNS ApplicationsCaitlin V M L Jie, Aro Delparente, Lisa Reichert, et al.
Computational and Structural Biotechnology Journal|August 7, 2024
G-<i>PLIP</i>: Knowledge graph neural network for structure-free protein-ligand bioactivity predictionSimon J Crouzet, Anja Maria Lieberherr, Kenneth Atz, et al.
RSC Medicinal Chemistry|July 19, 2024
Geometric deep learning-guided Suzuki reaction conditions assessment for applications in medicinal chemistryKenneth Atz, David F Nippa, Alex T Müller, et al.
Communications Chemistry|November 21, 2023
Identifying opportunities for late-stage C-H alkylation with high-throughput experimentation and in silico reaction screeningDavid F Nippa, Kenneth Atz, Alex T Müller, et al.
Biochemical Pharmacology|March 15, 2023
Allosteric targeting resolves limitations of earlier LFA-1 directed modalitiesRiccardo V Mancuso, Gisbert Schneider, Marianne Hürzeler, et al.
Pageof 4