Burkhard Rost
Professor
Predicts protein structure and function with machine learning, including protein language models and the effects of single amino-acid variants.
Burkhard Rost's lab at TUM works on proteins, drugs & materials and large language models. 6 papers since 2023, mostly Nucleic Acids Research.
At a glance
- papers, 2023–2026
- 2/ year
- at T1 venues
- 0%
- PhD students
- 0
- MS students
- 0
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 1 papers2026 · T1 0 · collecting
- 1 papers2025 · T1 0
- 1 papers2024 · T1 0
- 3 papers2023 · T1 0
T1 venuesOtherVenues: Nucleic Acids Research
Research focuspaper titles that use each topic's words
- Proteins, drugs & materials6 papers
- protein5 papers
- Large language models3 papers
- protein structure1 paper
- single0 papers
Paper list
From DBLP.
20261 paper
20251 paper
20241 paper
20233 papers
- Nucleic Acids ResearchCAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins (opens in a new tab)
- Bioinform.CATHe: detection of remote homologues for CATH superfamilies using embeddings from protein language models (opens in a new tab)
- BMC Bioinform.Rendering protein mutation movies with MutAmore (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to TUMRolling
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Computer Science Doctorate (CIT)
- Round
- Rolling (position-based)
- Opens
- —
- GRE
- See program page
- English
- Very good written and spoken English; no minimum test score
- Fee
- See program page
Confirmed on the program page.
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Data
Some numbers could not be verified:
- The alumni list could not be found on the lab site.
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