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Alexander Kroll

Showing results (1-10 of 21) with videos related to

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Current Opinion in Structural Biology|May 25, 2025
Recent advances and future trends for protein-small molecule interaction predictions with protein language modelsAlexander Kroll, Yvan Rousset
Biology Methods & Protocols|September 30, 2024
DLKcat cannot predict meaningful <i>k</i> <sub>cat</sub> values for mutants and unfamiliar enzymesAlexander Kroll, Martin J Lercher
Plos Computational Biology|May 20, 2024
A multimodal Transformer Network for protein-small molecule interactions enhances predictions of kinase inhibition and enzyme-substrate relationshipsAlexander Kroll, Sahasra Ranjan, Martin J Lercher
Frontiers in Oncology|June 13, 2020
Antineoplastic Agents Targeting Sphingolipid PathwaysAlexander Kroll, Hwang Eui Cho, Min H Kang
Plos Biology|September 26, 2024
SPOT: A machine learning model that predicts specific substrates for transport proteinsAlexander Kroll, Nico Niebuhr, Gregory Butler, et al.
Nucleic Acids Research|April 29, 2025
DeepMolecules: a web server for predicting enzyme and transporter-small molecule interactionsAlexander Kroll, Yvan Rousset, Thomas Spitzlei, et al.
Molecules (Basel, Switzerland)|February 16, 2020
Towards the Preparation of Stable Cyclic Amino(ylide)CarbenesHenning Steinert, Christopher Schwarz, Alexander Kroll, et al.
Applied Optics|December 13, 2002
Nanosizing of fluorescent objects by spatially modulated illumination microscopyAntonio Virgillo Failla, Udo Spoeri, Benno Albrecht, et al.
Plos Biology|October 19, 2021
Deep learning allows genome-scale prediction of Michaelis constants from structural featuresAlexander Kroll, Martin K M Engqvist, David Heckmann, et al.
Nature Communications|May 15, 2023
A general model to predict small molecule substrates of enzymes based on machine and deep learningAlexander Kroll, Sahasra Ranjan, Martin K M Engqvist, et al.
Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:
Pageof 3
Current Opinion in Structural Biology|May 25, 2025
Recent advances and future trends for protein-small molecule interaction predictions with protein language modelsAlexander Kroll, Yvan Rousset
Biology Methods & Protocols|September 30, 2024
DLKcat cannot predict meaningful <i>k</i> <sub>cat</sub> values for mutants and unfamiliar enzymesAlexander Kroll, Martin J Lercher
Plos Computational Biology|May 20, 2024
A multimodal Transformer Network for protein-small molecule interactions enhances predictions of kinase inhibition and enzyme-substrate relationshipsAlexander Kroll, Sahasra Ranjan, Martin J Lercher
Frontiers in Oncology|June 13, 2020
Antineoplastic Agents Targeting Sphingolipid PathwaysAlexander Kroll, Hwang Eui Cho, Min H Kang
Plos Biology|September 26, 2024
SPOT: A machine learning model that predicts specific substrates for transport proteinsAlexander Kroll, Nico Niebuhr, Gregory Butler, et al.
Nucleic Acids Research|April 29, 2025
DeepMolecules: a web server for predicting enzyme and transporter-small molecule interactionsAlexander Kroll, Yvan Rousset, Thomas Spitzlei, et al.
Molecules (Basel, Switzerland)|February 16, 2020
Towards the Preparation of Stable Cyclic Amino(ylide)CarbenesHenning Steinert, Christopher Schwarz, Alexander Kroll, et al.
Applied Optics|December 13, 2002
Nanosizing of fluorescent objects by spatially modulated illumination microscopyAntonio Virgillo Failla, Udo Spoeri, Benno Albrecht, et al.
Plos Biology|October 19, 2021
Deep learning allows genome-scale prediction of Michaelis constants from structural featuresAlexander Kroll, Martin K M Engqvist, David Heckmann, et al.
Nature Communications|May 15, 2023
A general model to predict small molecule substrates of enzymes based on machine and deep learningAlexander Kroll, Sahasra Ranjan, Martin K M Engqvist, et al.
Pageof 3