| Submission declined on 21 December 2024 by WeirdNAnnoyed (talk). This submission's references do not show that the subject qualifies for a Wikipedia article—that is, they do not show significant coverage (not just passing mentions) about the subject in published, reliable, secondary sources that are independent of the subject (see the guidelines on the notability of people). Before any resubmission, additional references meeting these criteria should be added (see technical help and learn about mistakes to avoid when addressing this issue). If no additional references exist, the subject is not suitable for Wikipedia.
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Comment: The subject may well be notable but we need better sourcing. Most sources are papers by the subject, not about the subject. Others are brief mentions or his profile at Seoul National University, which is not independent. WeirdNAnnoyed (talk) 13:40, 21 December 2024 (UTC)
 | 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. Martin Steinegger collaborated with Google DeepMind on AlphaFold2 as its only external author, creating the BFD database for its homology retrieval stage.[7]. 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.[8] In 2024, he was awarded the Overton Prize by the International Society for Computational Biology (ISCB) for significant contributions to the field.[9][10]
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 (1): 2542. Bibcode:2018NatCo...9.2542S. doi:10.1038/s41467-018-04964-5. PMC 6026198. 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. PMC 9184281. 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. PMC 10869269. PMID 37156916.
- ^ Editorial (2023). "Speedier protein structure search". Nature Methods. 20 (9): 1059. doi:10.1038/s41592-023-01953-5. PMID 37434010.
- ^ "Faculty Profile: Martin Steinegger". Seoul National University. Retrieved October 2, 2024.
- ^ Jumper, John; Evans, Richard; Pritzel, Alexander; Green, Tim; Figurnov, Michael; Ronneberger, Olaf; Tunyasuvunakool, Kathryn; Bates, Russ; Žídek, Augustin; Potapenko, Anna; Bridgland, Alex; Meyer, Clemens; Kohl, Simon A A; Ballard, Andrew J; Cowie, Andrew; Romera-Paredes, Bernardino; Nikolov, Stanislav; Jain, Rishub; Adler, Jonas; Back, Trevor; Petersen, Stig; Reiman, David; Clancy, Ellen; Zielinski, Michal; Steinegger, Martin; Pacholska, Michalina; Berghammer, Tamas; Bodenstein, Sebastian; Silver, David; Vinyals, Oriol; Senior, Andrew W; Kavukcuoglu, Koray; Kohli, Pushmeet; Hassabis, Demis (2021-07-15). "Highly accurate protein structure prediction with AlphaFold". Nature. 596 (7873): 583–589. Bibcode:2021Natur.596..583J. doi:10.1038/s41586-021-03819-2. PMC 8371605. PMID 34265844.
- ^ "Nobel Prize in Chemistry". Retrieved December 15, 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.