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Michael Heinzinger

Showing results (1-10 of 37) with videos related to

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Current Opinion in Structural Biology|February 22, 2025
Teaching AI to speak proteinMichael Heinzinger, Burkhard Rost
Cold Spring Harbor Perspectives in Biology|June 10, 2024
Artificial Intelligence Learns Protein PredictionMichael Heinzinger, Burkhard Rost
Frontiers in Bioinformatics|October 28, 2022
SETH predicts nuances of residue disorder from protein embeddingsDagmar Ilzhöfer, Michael Heinzinger, Burkhard Rost
Structure (London, England : 1993)|May 24, 2022
Protein language-model embeddings for fast, accurate, and alignment-free protein structure predictionKonstantin Weissenow, Michael Heinzinger, Burkhard Rost
Nature Communications|August 28, 2024
Fine-tuning protein language models boosts predictions across diverse tasksRobert Schmirler, Michael Heinzinger, Burkhard Rost
Cell Systems|October 21, 2021
Protein matchmaking through representation learningMichael Heinzinger, Christian Dallago, Burkhard Rost
Bioinformatics Advances|January 26, 2023
Light attention predicts protein location from the language of lifeHannes Stärk, Christian Dallago, Michael Heinzinger, et al.
Frontiers in Bioinformatics|December 5, 2022
Nearest neighbor search on embeddings rapidly identifies distant protein relationsKonstantin Schütze, Michael Heinzinger, Martin Steinegger, et al.
Scientific Reports|June 12, 2024
Protein embeddings predict binding residues in disordered regionsLaura R Jahn, Céline Marquet, Michael Heinzinger, et al.
Proteomics|October 16, 2018
Dark Proteins Important for Cellular FunctionAndrea Schafferhans, Seán I O'Donoghue, Michael Heinzinger, et al.
Pageof 4

Showing results (1-10 of 37) with videos related to

Sort By:
Pageof 4
Current Opinion in Structural Biology|February 22, 2025
Teaching AI to speak proteinMichael Heinzinger, Burkhard Rost
Cold Spring Harbor Perspectives in Biology|June 10, 2024
Artificial Intelligence Learns Protein PredictionMichael Heinzinger, Burkhard Rost
Frontiers in Bioinformatics|October 28, 2022
SETH predicts nuances of residue disorder from protein embeddingsDagmar Ilzhöfer, Michael Heinzinger, Burkhard Rost
Structure (London, England : 1993)|May 24, 2022
Protein language-model embeddings for fast, accurate, and alignment-free protein structure predictionKonstantin Weissenow, Michael Heinzinger, Burkhard Rost
Nature Communications|August 28, 2024
Fine-tuning protein language models boosts predictions across diverse tasksRobert Schmirler, Michael Heinzinger, Burkhard Rost
Cell Systems|October 21, 2021
Protein matchmaking through representation learningMichael Heinzinger, Christian Dallago, Burkhard Rost
Bioinformatics Advances|January 26, 2023
Light attention predicts protein location from the language of lifeHannes Stärk, Christian Dallago, Michael Heinzinger, et al.
Frontiers in Bioinformatics|December 5, 2022
Nearest neighbor search on embeddings rapidly identifies distant protein relationsKonstantin Schütze, Michael Heinzinger, Martin Steinegger, et al.
Scientific Reports|June 12, 2024
Protein embeddings predict binding residues in disordered regionsLaura R Jahn, Céline Marquet, Michael Heinzinger, et al.
Proteomics|October 16, 2018
Dark Proteins Important for Cellular FunctionAndrea Schafferhans, Seán I O'Donoghue, Michael Heinzinger, et al.
Pageof 4