Burkhard Rost
Technische Universität München
H-index: 106
Europe-Germany
Top articles of Burkhard Rost
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
VespaG: Expert-guided protein Language Models enable accurate and blazingly fast fitness prediction | bioRxiv | Celine Marquet Julius Schlensok Marina Abakarova Burkhard Rost Elodie Laine | 2024 |
Protein Embeddings Predict Binding Residues in Disordered Regions | bioRxiv | Laura R Jahn Celine Marquet Michael Heinzinger Burkhard Rost | 2024 |
Development and Evaluation of MR-Based Radiogenomic Models to Differentiate Atypical Lipomatous Tumors from Lipomas | Cancers | Sarah C Foreman Oscar Llorián-Salvador Diana E David Verena KN Rösner Jon F Rischewski | 2023/4/5 |
ProstT5: Bilingual language model for protein sequence and structure | bioRxiv | Michael Heinzinger Konstantin Weissenow Joaquin Gomez Sanchez Adrian Henkel Martin Steinegger | 2023/7 |
Prevalent bee venom genes evolved before the aculeate stinger and eusociality | BMC biology | Ivan Koludarov Mariana Velasque Tobias Senoner Thomas Timm Carola Greve | 2023/10/23 |
LambdaPP: Fast and accessible protein‐specific phenotype predictions | Protein Science | Tobias Olenyi Céline Marquet Michael Heinzinger Benjamin Kröger Tiha Nikolova | 2023/1 |
Novel machine learning approaches revolutionize protein knowledge | Nicola Bordin Christian Dallago Michael Heinzinger Stephanie Kim Maria Littmann | 2023/4/1 | |
The importance of planning CT-based imaging features for machine learning-based prediction of pain response | Scientific Reports | Óscar Llorián-Salvador Joachim Akhgar Steffi Pigorsch Kai Borm Stefan Münch | 2023/10/13 |
CATHe: Detection of remote homologues for CATH superfamilies using embeddings from protein language models | Bioinformatics | Vamsi Nallapareddy Nicola Bordin Ian Sillitoe Michael Heinzinger Maria Littmann | 2023/1/1 |
Structural Analysis of Genomic and Proteomic Signatures Reveal Dynamic Expression of Intrinsically Disordered Regions in Breast Cancer and Tissue | bioRxiv | Nicole Zatorski Yifei Sun Abdulkadir Elmas Christian Dallago Timothy Karl | 2023/2/24 |
Domain loss enabled evolution of novel functions in the snake three-finger toxin gene superfamily | Nature Communications | Ivan Koludarov Tobias Senoner Timothy NW Jackson Daniel Dashevsky Michael Heinzinger | 2023/8/11 |
AlphaFold2 reveals commonalities and novelties in protein structure space for 21 model organisms | Communications biology | Nicola Bordin Ian Sillitoe Vamsi Nallapareddy Clemens Rauer Su Datt Lam | 2023/2/8 |
Opinion piece/Book chapter: Artificial Intelligence learns protein prediction | Michael Heinzinger Burkhard Rost | 2023/7 | |
Rendering protein mutation movies with MutAmore | BMC bioinformatics | Konstantin Weissenow Burkhard Rost | 2023/12/12 |
Fine-tuning protein language models boosts predictions across diverse tasks | bioRxiv | Robert Schmirler Michael Heinzinger Burkhard Rost | 2023 |
PO-2106 Machine learning prediction of pain response to palliative radiation therapy with CT-based radiomics | Radiotherapy and Oncology | O Llorian J Akhgar S Pigorsch K Borm S Münch | 2023/5/1 |
Alignment-based protein mutational landscape prediction: doing more with less | Genome Biology and Evolution | Marina Abakarova Céline Marquet Michael Rera Burkhard Rost Elodie Laine | 2023/11 |
Embeddings from protein language models predict conservation and variant effects | Human Genetics | Céline Marquet Michael Heinzinger Tobias Olenyi Christian Dallago Kyra Erckert | 2021/12/30 |
Standards, tooling and benchmarks to probe representation learning on proteins | Joaquin Gomez Sanchez Sebastian Franz Michael Heinzinger Burkhard Rost Christian Dallago | 2022/11/28 | |
ProteomicsDB: toward a FAIR open-source resource for life-science research | Nucleic Acids Research | Ludwig Lautenbacher Patroklos Samaras Julian Muller Andreas Grafberger Marwin Shraideh | 2022/1/7 |
Co-Authors
