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 | A major contributor to this Martin Steinegger appears to have a close connection with its subject. |
Martin Steinegger | |
|---|---|
 Martin Steinegger at the Intelligent Systems for Molecular Biology (ISMB) conference in 2024 | |
| Born | Martin Steinegger |
| Alma mater | Technical University of Munich (B.Sc., Ph.D.) Ludwig Maximilian University of Munich (B.Sc., M.Sc.) |
| Known for | |
| Awards | Overton Prize (2024) |
| Scientific career | |
| Fields | Bioinformatics Structural bioinformatics Metagenomics |
| Institutions | Seoul National University Johns Hopkins University Max Planck Institute for Biophysical Chemistry |
| Thesis | Ultrafast and sensitive sequence search and clustering methods in the era of next generation sequencing (2018) |
| Doctoral advisor | Johannes Söding |
| Other academic advisors | Steven Salzberg (postdoctoral advisor) |
| Website | steineggerlab |
Martin Steinegger is a bioinformatician and associate professor in the Department of Biological Sciences at Seoul National University.[6] He is known for his contributions to computational biology, particularly in protein sequence analysis, metagenomics, and the development of efficient bioinformatics software tools. Steinegger collaborated with Google DeepMind on AlphaFold2 as the sole external contributor, focusing on its homology retrieval stage. This system formed the basis for the 2024 Nobel Prize in Chemistry awarded to Demis Hassabis and John Jumper for their breakthroughs in protein structure prediction.[7][8]. In 2024, he was awarded the Overton Prize by the International Society for Computational Biology (ISCB) for significant contributions to the field.
Career
editAfter studying bioinformatics and computer science at the Technical University of Munich (TUM) and the Ludwig Maximilian University of Munich, he received his PhD from TUM in 2018 for his work at the Max Planck Institute for Biophysical Chemistry. His doctoral research focused on developing computational methods for analyzing metagenomic sequencing data under Johannes Söding. Following a postdoctoral position at the Center for Computational Biology at Johns Hopkins University under Professor Steven L. Salzberg, he became an assistant professor in the Department of Biological Sciences at Seoul National University (SNU) in 2020. He established his research group focusing on bioinformatics tool development and large-scale sequence data analysis.
References
edit- ^ Steinegger, Martin; Söding, Johannes (2017). "MMseqs2 enables sensitive protein sequence searching for the analysis of massive data sets". Nature Biotechnology. 35 (11): 1026–1028. doi:10.1038/nbt.3988. PMID 29035372.
- ^ Steinegger, Martin; Söding, Johannes (2018). "Clustering huge protein sequence sets in linear time". Nature Communications. 9. doi:10.1038/s41467-018-04964-5. PMID 29959318.
- ^ Mirdita, Milot; Schütze, Konstantin; Moriwaki, Yoshitaka; Heo, Lim; Ovchinnikov, Sergey; Steinegger, Martin (2022). "ColabFold: making protein folding accessible to all". Nature Methods. 19 (6): 679–682. doi:10.1038/s41592-022-01488-1. PMID 35637307.
- ^ Van Kempen, Michel; Kim, Stephanie S; Tumescheit, Charlotte; Mirdita, Milot; Gilchrist, Cameron L. M.; Söding, Johannes; Steinegger, Martin (2024). "Foldseek: fast and accurate protein structure search". Nature Biotechnology. 42 (20): 243–246. doi:10.1038/s41587-023-01773-0. PMID 37156916.
- ^ Editorial (2023). "Speedier protein structure search". Nature Methods. 20 (9): 1059. doi:10.1038/s41592-023-01953-5.
- ^ "Faculty Profile: Martin Steinegger". Seoul National University. Retrieved October 2, 2024.
- ^ "ISCB Overton Prize Recipients". Retrieved October 2, 2024.
- ^ Wiper, Mallory L (2024). "The 2024 ISCB Overton Prize Award—Dr Martin Steinegger". Bioinformatics. 40: i3–i4. doi:10.1093/bioinformatics/btae288.