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Burkhard Rost

Showing results (111-120 of 241) with videos related to

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Proteins|May 13, 2020
Evolutionary model of protein secondary structure capable of revealing new biological relationshipsJhih-Siang Lai, Burkhard Rost, Bostjan Kobe, et al.
Scientific Reports|December 14, 2021
Protein embeddings and deep learning predict binding residues for various ligand classesMaria Littmann, Michael Heinzinger, Christian Dallago, et al.
Proteins|September 24, 2009
Critical assessment of methods of protein structure prediction - Round VIIIJohn Moult, Krzysztof Fidelis, Andriy Kryshtafovych, et al.
NAR Genomics and Bioinformatics|February 12, 2021
Family-specific analysis of variant pathogenicity prediction toolsJan Zaucha, Michael Heinzinger, Svetlana Tarnovskaya, et al.
Proteins|August 24, 2006
Identifying cysteines and histidines in transition-metal-binding sites using support vector machines and neural networksAndrea Passerini, Marco Punta, Alessio Ceroni, et al.
Molecular Biosystems|January 25, 2014
Co-expression and co-localization of hub proteins and their partners are encoded in protein sequenceAriel Feiglin, Shaul Ashkenazi, Avner Schlessinger, et al.
BMC Bioinformatics|August 13, 2025
FlatProt: 2D visualization eases protein structure comparisonTobias Olenyi, Constantin Carl, Tobias Senoner, et al.
Bioinformatics (Oxford, England)|November 22, 2024
Expert-guided protein language models enable accurate and blazingly fast fitness predictionCéline Marquet, Julius Schlensok, Marina Abakarova, et al.
Genome Biology and Evolution|November 8, 2023
Alignment-based Protein Mutational Landscape Prediction: Doing More with LessMarina Abakarova, Céline Marquet, Michael Rera, et al.
Proteins|September 28, 2005
Critical assessment of methods of protein structure prediction (CASP)--round 6John Moult, Krzysztof Fidelis, Burkhard Rost, et al.
Pageof 25

Showing results (111-120 of 241) with videos related to

Sort By:
Pageof 25
Proteins|May 13, 2020
Evolutionary model of protein secondary structure capable of revealing new biological relationshipsJhih-Siang Lai, Burkhard Rost, Bostjan Kobe, et al.
Scientific Reports|December 14, 2021
Protein embeddings and deep learning predict binding residues for various ligand classesMaria Littmann, Michael Heinzinger, Christian Dallago, et al.
Proteins|September 24, 2009
Critical assessment of methods of protein structure prediction - Round VIIIJohn Moult, Krzysztof Fidelis, Andriy Kryshtafovych, et al.
NAR Genomics and Bioinformatics|February 12, 2021
Family-specific analysis of variant pathogenicity prediction toolsJan Zaucha, Michael Heinzinger, Svetlana Tarnovskaya, et al.
Proteins|August 24, 2006
Identifying cysteines and histidines in transition-metal-binding sites using support vector machines and neural networksAndrea Passerini, Marco Punta, Alessio Ceroni, et al.
Molecular Biosystems|January 25, 2014
Co-expression and co-localization of hub proteins and their partners are encoded in protein sequenceAriel Feiglin, Shaul Ashkenazi, Avner Schlessinger, et al.
BMC Bioinformatics|August 13, 2025
FlatProt: 2D visualization eases protein structure comparisonTobias Olenyi, Constantin Carl, Tobias Senoner, et al.
Bioinformatics (Oxford, England)|November 22, 2024
Expert-guided protein language models enable accurate and blazingly fast fitness predictionCéline Marquet, Julius Schlensok, Marina Abakarova, et al.
Genome Biology and Evolution|November 8, 2023
Alignment-based Protein Mutational Landscape Prediction: Doing More with LessMarina Abakarova, Céline Marquet, Michael Rera, et al.
Proteins|September 28, 2005
Critical assessment of methods of protein structure prediction (CASP)--round 6John Moult, Krzysztof Fidelis, Burkhard Rost, et al.
Pageof 25