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Burkhard Rost

technical university of munich

101H-index
706Paper Count
4.9WCitation Count
Published Papers 130
Publication Date
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Epigenetic insights into extreme longevity in the world's oldest terrestrial animal, Jonathan
errScience Advances
IF12.5
err2026-01-01
err0
PREAI
errBenjamin Vaisvil; Daniel P. Schmitt; Angela Jones; Vinayak Kapatral; James Ford; Madison L. Taylor; Mathia Colwell; Jonathan Hollins; Sam Pascucci; Konstantin Weißenow; Burkhard Rost; Pascal Notin; Justin Gerlach; Thomas C. Terwilliger; Li‐Wei Hung; Todd R. Robeck; Lars Juhl Jensen; Steve Horvath; Christopher D. Faulk; Kathyln Reed; Stephen Clarke
errShare
errSave
Toxin data quality: a critical examination of bacterial exotoxins and animal toxins
errBMC RESEARCH NOTES
IF1.7
err2025-10-02
err0
errOAAI
errKruger, Tanja; Koludarov, Ivan; Littmann, Maria; Rost, Burkhard; Jimenez-Soto, Luisa F.
errShare
errSave
Are protein language models the new universal key?
errCURRENT OPINION IN STRUCTURAL BIOLOGY
IF7
err2025-04-01
err0
errOAAI
errWeissenow, Konstantin; Rost, Burkhard
errShare
errSave
Teaching AI to speak protein
errCURRENT OPINION IN STRUCTURAL BIOLOGY
IF7
err2025-04-01
err0
errOAAI
errHeinzinger, Michael; Rost, Burkhard
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errSave
Critical assessment of missense variant effect predictors on disease-relevant variant data
errHUMAN GENETICS
IF3.6
err2025-03-01
err1
errOAAI
errRastogi, Ruchir; Chung, Ryan; Li, Sindy; Li, Chang; Lee, Kyoungyeul; Woo, Junwoo; Kim, Dong-Wook; Keum, Changwon; Babbi, Giulia; Martelli, Pier Luigi; Savojardo, Castrense; Casadio, Rita; Chennen, Kirsley; Weber, Thomas; Poch, Olivier; Ancien, Francois; Cia, Gabriel; Pucci, Fabrizio; Raimondi, Daniele; Vranken, Wim; Rooman, Marianne; Marquet, Celine; Olenyi, Tobias; Rost, Burkhard; Andreoletti, Gaia; Kamandula, Akash; Peng, Yisu; Bakolitsa, Constantina; Mort, Matthew; Cooper, David N.; Bergquist, Timothy; Pejaver, Vikas; Liu, Xiaoming; Radivojac, Predrag; Brenner, Steven E.; Ioannidis, Nilah M.
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errSave
bindNode24: Competitive binding residue prediction with 60 % smaller model
errCOMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL
IF4.1
err2025-01-01
err0
errOAAI
errErckert, Kyra; Birkeneder, Franz; Rost, Burkhard
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errSave
Bilingual language model for protein sequence and structure
errgenomics proteomics bioinformatics
IF2.8
err2024-11-15
err12
errOAAI
errHeinzinger, Michael; Weissenow, Konstantin; Sanchez, Joaquin Gomez; Henkel, Adrian; Mirdita, Milot; Steinegger, Martin; Rost, Burkhard
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errSave
Assessing the role of evolutionary information for enhancing protein language model embeddings
errSCIENTIFIC REPORTS
IF3.9
err2024-09-05
err0
errOAAI
errErckert, Kyra; Rost, Burkhard
errShare
errSave
CT-based radiomics for predicting breast cancer radiotherapy side effects
errSCIENTIFIC REPORTS
IF3.9
err2024-08-29
err2
errOAAI
errLloriaen-Salvador, Oscar; Windeler, Nora; Martin, Nicole; Etzel, Lucas; Andrade-Navarro, Miguel A.; Bernhardt, Denise; Rost, Burkhard; Borm, Kai J.; Combs, Stephanie E.; Duma, Marciana N.; Peeken, Jan C.
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errSave
Fine-tuning protein language models boosts predictions across diverse tasks
errNATURE COMMUNICATIONS
IF15.7
err2024-08-28
err2
errOAAI
errSchmirler, Robert; Heinzinger, Michael; Rost, Burkhard
errShare
errSave
Protein embeddings predict binding residues in disordered regions
errSCIENTIFIC REPORTS
IF3.9
err2024-06-12
err7
errOAAI
errJahn, Laura R.; Marquet, Celine; Heinzinger, Michael; Rost, Burkhard
errShare
errSave
Artificial Intelligence Learns Protein Prediction
errcold spring harbor perspectives in medicine
IF8.4
err2024-06-10
err0
PREAI
errHeinzinger, Michael; Rost, Burkhard
errShare
errSave
Alignment-based Protein Mutational Landscape Prediction: Doing More with Less
errGENOME BIOLOGY AND EVOLUTION
IF2.8
err2023-11-04
err7
errOAAI
errAbakarova, Marina; Marquet, Celine; Rera, Michael; Rost, Burkhard; Laine, Elodie
errShare
errSave
The importance of planning CT-based imaging features for machine learning-based prediction of pain response
errSCIENTIFIC REPORTS
IF3.9
err2023-10-13
err2
errOAAI
errLlorian-Salvador, Oscar; Akhgar, Joachim; Pigorsch, Steffi; Borm, Kai; Muench, Stefan; Bernhardt, Denise; Rost, Burkhard; Andrade-Navarro, Miguel A.; Combs, Stephanie E.; Peeken, Jan C.
errShare
errSave
Domain loss enabled evolution of novel functions in the snake three-finger toxin gene superfamily
errNATURE COMMUNICATIONS
IF15.7
err2023-08-11
err8
errOAAI
errKoludarov, Ivan; Senoner, Tobias; Jackson, Timothy N. W.; Dashevsky, Daniel; Heinzinger, Michael; Aird, Steven D.; Rost, Burkhard
errShare
errSave
Novel machine learning approaches revolutionize protein knowledge
errTRENDS IN BIOCHEMICAL SCIENCES
IF11
err2023-04-01
err34
errOAAI
errBordin, Nicola; Dallago, Christian; Heinzinger, Michael; Kim, Stephanie; Littmann, Maria; Rauer, Clemens; Steinegger, Martin; Rost, Burkhard; Orengo, Christine
errShare
errSave
AlphaFold2 reveals commonalities and novelties in protein structure space for 21 model organisms
errCOMMUNICATIONS BIOLOGY
IF5.1
err2023-02-08
err38
errOAAI
errBordin, Nicola; Sillitoe, Ian; Nallapareddy, Vamsi; Rauer, Clemens; Lam, Su Datt; Waman, Vaishali P.; Sen, Neeladri; Heinzinger, Michael; Littmann, Maria; Kim, Stephanie; Velankar, Sameer; Steinegger, Martin; Rost, Burkhard; Orengo, Christine
errShare
errSave
Contrastive learning on protein embeddings enlightens midnight zone
errgenomics proteomics bioinformatics
IF2.8
err2022-06-11
err45
errOAAI
errHeinzinger, Michael; Littmann, Maria; Sillitoe, Ian; Bordin, Nicola; Orengo, Christine; Rost, Burkhard
errShare
errSave
Embeddings from protein language models predict conservation and variant effects
errHUMAN GENETICS
IF3.6
err2021-12-30
err78
errOAAI
errMarquet, Celine; Heinzinger, Michael; Olenyi, Tobias; Dallago, Christian; Erckert, Kyra; Bernhofer, Michael; Nechaev, Dmitrii; Rost, Burkhard
errShare
errSave
Protein embeddings and deep learning predict binding residues for various ligand classes
errSCIENTIFIC REPORTS
IF3.9
err2021-12-13
err66
errOAAI
errLittmann, Maria; Heinzinger, Michael; Dallago, Christian; Weissenow, Konstantin; Rost, Burkhard
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errSave

Research Directions

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