Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Christian Dallago

Showing results (11-20 of 30) with videos related to

Pageof 3
Sort By:
Bioinformatics (Oxford, England)|May 12, 2021
Clustering FunFams using sequence embeddings improves EC purityMaria Littmann, Nicola Bordin, Michael Heinzinger, et al.
Journal of Molecular Biology|March 26, 2025
TMVisDB: Annotation and 3D-visualization of Transmembrane ProteinsTobias Olenyi, Céline Marquet, Anastasia Grekova, et al.
Human Genetics|December 30, 2021
Embeddings from protein language models predict conservation and variant effectsCéline Marquet, Michael Heinzinger, Tobias Olenyi, et al.
F1000Research|November 2, 2020
AlignmentViewer: Sequence Analysis of Large Protein FamiliesRoc Reguant, Yevgeniy Antipin, Rob Sheridan, et al.
Trends in Biochemical Sciences|December 12, 2022
Novel machine learning approaches revolutionize protein knowledgeNicola Bordin, Christian Dallago, Michael Heinzinger, et al.
Nature Methods|September 19, 2025
GPU-accelerated homology search with MMseqs2Felix Kallenborn, Alejandro Chacon, Christian Hundt, et al.
Biorxiv : the Preprint Server for Biology|March 3, 2023
Structural Analysis of Genomic and Proteomic Signatures Reveal Dynamic Expression of Intrinsically Disordered Regions in Breast Cancer and TissueNicole Zatorski, Yifei Sun, Abdulkadir Elmas, et al.
Iscience|September 23, 2024
Structural analysis of genomic and proteomic signatures reveal dynamic expression of intrinsically disordered regions in breast cancerNicole Zatorski, Yifei Sun, Abdulkadir Elmas, et al.
Current Protocols|May 7, 2021
Learned Embeddings from Deep Learning to Visualize and Predict Protein SetsChristian Dallago, Konstantin Schütze, Michael Heinzinger, 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 3

Showing results (11-20 of 30) with videos related to

Sort By:
Pageof 3
Bioinformatics (Oxford, England)|May 12, 2021
Clustering FunFams using sequence embeddings improves EC purityMaria Littmann, Nicola Bordin, Michael Heinzinger, et al.
Journal of Molecular Biology|March 26, 2025
TMVisDB: Annotation and 3D-visualization of Transmembrane ProteinsTobias Olenyi, Céline Marquet, Anastasia Grekova, et al.
Human Genetics|December 30, 2021
Embeddings from protein language models predict conservation and variant effectsCéline Marquet, Michael Heinzinger, Tobias Olenyi, et al.
F1000Research|November 2, 2020
AlignmentViewer: Sequence Analysis of Large Protein FamiliesRoc Reguant, Yevgeniy Antipin, Rob Sheridan, et al.
Trends in Biochemical Sciences|December 12, 2022
Novel machine learning approaches revolutionize protein knowledgeNicola Bordin, Christian Dallago, Michael Heinzinger, et al.
Nature Methods|September 19, 2025
GPU-accelerated homology search with MMseqs2Felix Kallenborn, Alejandro Chacon, Christian Hundt, et al.
Biorxiv : the Preprint Server for Biology|March 3, 2023
Structural Analysis of Genomic and Proteomic Signatures Reveal Dynamic Expression of Intrinsically Disordered Regions in Breast Cancer and TissueNicole Zatorski, Yifei Sun, Abdulkadir Elmas, et al.
Iscience|September 23, 2024
Structural analysis of genomic and proteomic signatures reveal dynamic expression of intrinsically disordered regions in breast cancerNicole Zatorski, Yifei Sun, Abdulkadir Elmas, et al.
Current Protocols|May 7, 2021
Learned Embeddings from Deep Learning to Visualize and Predict Protein SetsChristian Dallago, Konstantin Schütze, Michael Heinzinger, 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 3