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Michael Heinzinger

Showing results (21-30 of 37) with videos related to

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Iscience|June 10, 2025
Annotating the microbial dark matter with HiFi-NNGavin Ayres, Geraldene Munsamy, Michael Heinzinger, et al.
BMC Bioinformatics|December 19, 2019
Modeling aspects of the language of life through transfer-learning protein sequencesMichael Heinzinger, Ahmed Elnaggar, Yu Wang, et al.
Methods in Molecular Biology (Clifton, N.J.)|July 2, 2025
A Survey of Pretrained Protein Language ModelsSuresh Pokharel, Pawel Pratyush, Meenal Chaudhari, et al.
NAR Genomics and Bioinformatics|December 5, 2024
Bilingual language model for protein sequence and structureMichael Heinzinger, Konstantin Weissenow, Joaquin Gomez Sanchez, et al.
Human Genetics|December 30, 2021
Embeddings from protein language models predict conservation and variant effectsCéline Marquet, Michael Heinzinger, Tobias Olenyi, et al.
Nature Communications|August 11, 2023
Domain loss enabled evolution of novel functions in the snake three-finger toxin gene superfamilyIvan Koludarov, Tobias Senoner, Timothy N W Jackson, et al.
Trends in Biochemical Sciences|December 12, 2022
Novel machine learning approaches revolutionize protein knowledgeNicola Bordin, Christian Dallago, Michael Heinzinger, et al.
Bioinformatics (Oxford, England)|January 17, 2023
CATHe: detection of remote homologues for CATH superfamilies using embeddings from protein language modelsVamsi Nallapareddy, Nicola Bordin, Ian Sillitoe, et al.
Briefings in Bioinformatics|July 17, 2020
Mutations in transmembrane proteins: diseases, evolutionary insights, prediction and comparison with globular proteinsJan Zaucha, Michael Heinzinger, A Kulandaisamy, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|July 7, 2021
ProtTrans: Toward Understanding the Language of Life Through Self-Supervised LearningAhmed Elnaggar, Michael Heinzinger, Christian Dallago, et al.
Pageof 4

Showing results (21-30 of 37) with videos related to

Sort By:
Pageof 4
Iscience|June 10, 2025
Annotating the microbial dark matter with HiFi-NNGavin Ayres, Geraldene Munsamy, Michael Heinzinger, et al.
BMC Bioinformatics|December 19, 2019
Modeling aspects of the language of life through transfer-learning protein sequencesMichael Heinzinger, Ahmed Elnaggar, Yu Wang, et al.
Methods in Molecular Biology (Clifton, N.J.)|July 2, 2025
A Survey of Pretrained Protein Language ModelsSuresh Pokharel, Pawel Pratyush, Meenal Chaudhari, et al.
NAR Genomics and Bioinformatics|December 5, 2024
Bilingual language model for protein sequence and structureMichael Heinzinger, Konstantin Weissenow, Joaquin Gomez Sanchez, et al.
Human Genetics|December 30, 2021
Embeddings from protein language models predict conservation and variant effectsCéline Marquet, Michael Heinzinger, Tobias Olenyi, et al.
Nature Communications|August 11, 2023
Domain loss enabled evolution of novel functions in the snake three-finger toxin gene superfamilyIvan Koludarov, Tobias Senoner, Timothy N W Jackson, et al.
Trends in Biochemical Sciences|December 12, 2022
Novel machine learning approaches revolutionize protein knowledgeNicola Bordin, Christian Dallago, Michael Heinzinger, et al.
Bioinformatics (Oxford, England)|January 17, 2023
CATHe: detection of remote homologues for CATH superfamilies using embeddings from protein language modelsVamsi Nallapareddy, Nicola Bordin, Ian Sillitoe, et al.
Briefings in Bioinformatics|July 17, 2020
Mutations in transmembrane proteins: diseases, evolutionary insights, prediction and comparison with globular proteinsJan Zaucha, Michael Heinzinger, A Kulandaisamy, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|July 7, 2021
ProtTrans: Toward Understanding the Language of Life Through Self-Supervised LearningAhmed Elnaggar, Michael Heinzinger, Christian Dallago, et al.
Pageof 4