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astronomy

Martin Steinegger (scientist)

Martin Steinegger (scientist) is a astronomy topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Martin Steinegger (scientist) rather than just read about it. In short: Martin Steinegger is a bioinformatician and associate professor in the School of Biological Sciences at Seoul National University. His research focuses on computational methods for large-scale analysis of biological sequence and structure data.

Martin Steinegger (scientist) — main illustration
Martin Steinegger (scientist) — illustration

Key takeaways

  • Martin Steinegger (scientist) belongs to astronomy; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Martin Steinegger (scientist) to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Martin Steinegger (scientist) from memory before moving on to harder problems.

Reference excerpt

Martin Steinegger is a bioinformatician and associate professor in the School of Biological Sciences at Seoul National University. His research focuses on computational methods for large-scale analysis of biological sequence and structure data. He is known for developing the bioinformatics tools MMseqs2, Linclust, ColabFold, and Foldseek, and contributed to the development of AlphaFold2. In 2024, he received the Overton Prize from the International Society for Computational Biology.

Education and career Steinegger studied bioinformatics at the Technical University of Munich and LMU Munich. He completed a PhD in computer science at the Technical University of Munich in 2018 under the supervision of Johannes Söding, with research carried out at the Max Planck Institute for Biophysical Chemistry. He was then a postdoctoral fellow in the laboratory of Steven Salzberg at Johns Hopkins University School of Medicine. In 2020, he joined Seoul National University as assistant professor.

Research With Johannes Söding, Steinegger developed MMseqs2, a software suite for protein sequence searching and clustering, and Linclust, which clusters protein sequence datasets in linear time. These tools are used in resources including UniRef, NCBI ClusteredNR, and RCSB PDB sequence clusters. His Conterminator software, built on MMseqs2, was used to identify over two million contaminated or mislabeled database entries. He later co-developed ColabFold, an open platform described as making AlphaFold2 protein structure prediction more accessible to experimental biologists. He also co-developed Foldseek, a tool for protein structure search. Nature Methods described Foldseek as a major acceleration in protein structure database searches, while Nature reported on its adoption as the search tool for the AlphaFold Protein Structure Database. In 2026, Nature reported that Steinegger was part of a consortium with EMBL-EBI, Google DeepMind, and NVIDIA that expanded the AlphaFold database to include homodimer predictions. Steinegger co-authored the 2021 Nature paper on AlphaFold and contributed the BFD sequence database used in the system.

Awards and honors Overton Prize, International Society for Computational Biology (2024) Asan Award in Medicine (Young Medical Scientists), Asan Foundation (2026) Highly Cited Researcher, Clarivate (2024, 2025)

References

Illustrations

Martin Steinegger (scientist) illustration

Worked examples

Example 1 — a first encounter with Martin Steinegger (scientist)

Start with the simplest possible case. Write down what Martin Steinegger (scientist) claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In astronomy, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Martin Steinegger (scientist) before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Martin Steinegger (scientist) ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Martin Steinegger (scientist)

In research
Martin Steinegger (scientist) appears in astronomy research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Martin Steinegger (scientist) in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Martin Steinegger (scientist) is common in secondary-school and first-year university syllabi. It links to neighbouring topics Academic staff of Seoul National University, Bioinformaticians, LMU Munich alumni, so understanding it makes those chapters shorter.
In everyday life
Look for Martin Steinegger (scientist) outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Martin Steinegger (scientist) in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Martin Steinegger (scientist) means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Martin Steinegger (scientist) out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Martin Steinegger (scientist) in simple terms?

Martin Steinegger is a bioinformatician and associate professor in the School of Biological Sciences at Seoul National University. His research focuses on computational methods for large-scale analysis of biological sequence and structure data.

Why does Martin Steinegger (scientist) matter?

Because it connects several astronomy ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Martin Steinegger (scientist)?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Martin Steinegger (scientist).

Tags

  • Academic staff of Seoul National University
  • Bioinformaticians
  • LMU Munich alumni
  • Living people
  • Technical University of Munich alumni

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