Hasil Pencarian - Michael Heinzinger

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  1. 1
    SETH predicts nuances of residue disorder from protein embeddings

    SETH predicts nuances of residue disorder from protein embeddings oleh Dagmar Ilzhöfer, Michael Heinzinger, Michael Heinzinger, Burkhard Rost, Burkhard Rost, Burkhard Rost

    Diterbitkan 2022-10-01
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  2. 2
    Nearest neighbor search on embeddings rapidly identifies distant protein relations

    Nearest neighbor search on embeddings rapidly identifies distant protein relations oleh Konstantin Schütze, Michael Heinzinger, Michael Heinzinger, Martin Steinegger, Martin Steinegger, Burkhard Rost, Burkhard Rost

    Diterbitkan 2022-11-01
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  3. 3
    Fine-tuning protein language models boosts predictions across diverse tasks

    Fine-tuning protein language models boosts predictions across diverse tasks oleh Robert Schmirler, Michael Heinzinger, Burkhard Rost

    Diterbitkan 2024-08-01
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  4. 4
    Protein embeddings predict binding residues in disordered regions

    Protein embeddings predict binding residues in disordered regions oleh Laura R. Jahn, Céline Marquet, Michael Heinzinger, Burkhard Rost

    Diterbitkan 2024-06-01
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  5. 5
    Protein embeddings and deep learning predict binding residues for various ligand classes

    Protein embeddings and deep learning predict binding residues for various ligand classes oleh Maria Littmann, Michael Heinzinger, Christian Dallago, Konstantin Weissenow, Burkhard Rost

    Diterbitkan 2021-12-01
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  6. 6
    Embeddings from deep learning transfer GO annotations beyond homology

    Embeddings from deep learning transfer GO annotations beyond homology oleh Maria Littmann, Michael Heinzinger, Christian Dallago, Tobias Olenyi, Burkhard Rost

    Diterbitkan 2021-01-01
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  7. 7
    Improving protein succinylation sites prediction using embeddings from protein language model

    Improving protein succinylation sites prediction using embeddings from protein language model oleh Suresh Pokharel, Pawel Pratyush, Michael Heinzinger, Robert H. Newman, Dukka B. KC

    Diterbitkan 2022-10-01
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  8. 8
    From sequence to function through structure: Deep learning for protein design

    From sequence to function through structure: Deep learning for protein design oleh Noelia Ferruz, Michael Heinzinger, Mehmet Akdel, Alexander Goncearenco, Luca Naef, Christian Dallago

    Diterbitkan 2023-01-01
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  9. 9
    Modeling aspects of the language of life through transfer-learning protein sequences

    Modeling aspects of the language of life through transfer-learning protein sequences oleh Michael Heinzinger, Ahmed Elnaggar, Yu Wang, Christian Dallago, Dmitrii Nechaev, Florian Matthes, Burkhard Rost

    Diterbitkan 2019-12-01
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  10. 10
    Domain loss enabled evolution of novel functions in the snake three-finger toxin gene superfamily

    Domain loss enabled evolution of novel functions in the snake three-finger toxin gene superfamily oleh Ivan Koludarov, Tobias Senoner, Timothy N. W. Jackson, Daniel Dashevsky, Michael Heinzinger, Steven D. Aird, Burkhard Rost

    Diterbitkan 2023-08-01
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  11. 11
    AlphaFold2 reveals commonalities and novelties in protein structure space for 21 model organisms

    AlphaFold2 reveals commonalities and novelties in protein structure space for 21 model organisms oleh Nicola Bordin, Ian Sillitoe, Vamsi Nallapareddy, Clemens Rauer, Su Datt Lam, Vaishali P. Waman, Neeladri Sen, Michael Heinzinger, Maria Littmann, Stephanie Kim, Sameer Velankar, Martin Steinegger, Burkhard Rost, Christine Orengo

    Diterbitkan 2023-02-01
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  12. 12
    Prevalent bee venom genes evolved before the aculeate stinger and eusociality

    Prevalent bee venom genes evolved before the aculeate stinger and eusociality oleh Ivan Koludarov, Mariana Velasque, Tobias Senoner, Thomas Timm, Carola Greve, Alexander Ben Hamadou, Deepak Kumar Gupta, Günter Lochnit, Michael Heinzinger, Andreas Vilcinskas, Rosalyn Gloag, Brock A. Harpur, Lars Podsiadlowski, Burkhard Rost, Timothy N. W. Jackson, Sebastien Dutertre, Eckart Stolle, Björn M. von Reumont

    Diterbitkan 2023-10-01
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