Draft:Martin Steinegger (scientist): Difference between revisions
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{{AFC submission|d|prof|u=2A02:3100:7F32:A800:4C91:D912:9928:6A71|ns=118|decliner=Ldm1954|declinets=20250625122336|small=yes|ts=20250621071817}} |
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{{AFC submission|d|bio|u=Martin.steinegger|ns=118|decliner=WeirdNAnnoyed|declinets=20241221134022|small=yes|ts=20241211183307}} |
{{AFC submission|d|bio|u=Martin.steinegger|ns=118|decliner=WeirdNAnnoyed|declinets=20241221134022|small=yes|ts=20241211183307}} |
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{{COI|Martin Steinegger}} |
{{COI|Martin Steinegger}} |
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| known_for = {{Plainlist| |
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* [[MMseqs2]]<ref name="MMseqs2">{{cite journal |last1=Steinegger |first1=Martin |last2=Söding |first2=Johannes |title=MMseqs2 enables sensitive protein sequence searching for the analysis of massive data sets |journal=Nature Biotechnology |date=2017 |volume=35 |issue=11 |pages=1026–1028 |doi=10.1038/nbt.3988 |pmid=29035372}}</ref><ref name="OvertonPrize2"/><ref name="NSR2025"/> |
* [[MMseqs2]].<ref name="MMseqs2">{{cite journal |last1=Steinegger |first1=Martin |last2=Söding |first2=Johannes |title=MMseqs2 enables sensitive protein sequence searching for the analysis of massive data sets |journal=Nature Biotechnology |date=2017 |volume=35 |issue=11 |pages=1026–1028 |doi=10.1038/nbt.3988 |pmid=29035372}}</ref><ref name="OvertonPrize2"/><ref name="NSR2025"/> |
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* [[Linclust]]<ref name="Linclust">{{cite journal |last1=Steinegger |first1=Martin |last2=Söding |first2=Johannes |title=Clustering huge protein sequence sets in linear time |journal=Nature Communications |date=2018 |volume=9 |issue=1 |page=2542 |doi=10.1038/s41467-018-04964-5 |pmid=29959318|pmc=6026198 |bibcode=2018NatCo...9.2542S }}</ref><ref name="OvertonPrize2"/> |
* [[Linclust]]<ref name="Linclust">{{cite journal |last1=Steinegger |first1=Martin |last2=Söding |first2=Johannes |title=Clustering huge protein sequence sets in linear time |journal=Nature Communications |date=2018 |volume=9 |issue=1 |page=2542 |doi=10.1038/s41467-018-04964-5 |pmid=29959318|pmc=6026198 |bibcode=2018NatCo...9.2542S }}</ref><ref name="OvertonPrize2"/> |
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* [[ColabFold]]<ref name="ColabFold">{{cite journal |last1=Mirdita |first1=Milot |last2=Schütze |first2=Konstantin |last3=Moriwaki |first3=Yoshitaka |last4=Heo |first4=Lim |last5=Ovchinnikov |first5=Sergey |last6=Steinegger |first6=Martin |title=ColabFold: making protein folding accessible to all |journal=Nature Methods |date=2022 |volume=19 |issue=6 |pages=679–682 |doi=10.1038/s41592-022-01488-1 |pmid=35637307|pmc=9184281 }}</ref><ref name="NSR2025"/><ref name="Mueller2021ColabFold">{{cite news |last1=Müller |first1=Henrik |title=Interview mit Martin Steinegger über AlphaFold2 und ColabFold |journal=Laborjournal |date=2021 |language=de |url=https://www.laborjournal.de/epaper/LJ_21_10.pdf |pages=70–73}}</ref> |
* [[ColabFold]]<ref name="ColabFold">{{cite journal |last1=Mirdita |first1=Milot |last2=Schütze |first2=Konstantin |last3=Moriwaki |first3=Yoshitaka |last4=Heo |first4=Lim |last5=Ovchinnikov |first5=Sergey |last6=Steinegger |first6=Martin |title=ColabFold: making protein folding accessible to all |journal=Nature Methods |date=2022 |volume=19 |issue=6 |pages=679–682 |doi=10.1038/s41592-022-01488-1 |pmid=35637307|pmc=9184281 }}</ref><ref name="NSR2025"/><ref name="Mueller2021ColabFold">{{cite news |last1=Müller |first1=Henrik |title=Interview mit Martin Steinegger über AlphaFold2 und ColabFold |journal=Laborjournal |date=2021 |language=de |url=https://www.laborjournal.de/epaper/LJ_21_10.pdf |pages=70–73}}</ref> |
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}} | awards = [[Overton Prize]] (2024) | website = {{URL|https://steineggerlab.com/}} }} |
}} | awards = [[Overton Prize]] (2024) | website = {{URL|https://steineggerlab.com/}} }} |
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'''Martin Steinegger''' is a bioinformatician and associate professor in the Department of Biological Sciences at [[Seoul National University]] (SNU)..<ref name="NatureCareer2021"> {{cite journal |last1=Forrester |first1=Nikki |title=How new principal investigators tackled a tumultuous year |journal=Nature |date=June 2021 |volume=594 |issue=7861 |pages=135–137 |doi=10.1038/d41586-021-01311-5 |pmid=34002077 |bibcode=2021Natur.594..135F }} </ref> He is known for his contributions to computational biology, particularly in protein sequence and structure analysis<ref name="NatureMethodsFoldseek"/><ref name="Hutson2023af2"/>, protein structure analysis <ref name="Mueller2022Proteinstruktur"/>, and the development of efficient bioinformatics software tools.<ref name="OvertonPrize2">{{cite journal |last1=Wiper |first1=Mallory L |title=The 2024 ISCB Overton Prize Award—Dr Martin Steinegger |journal=Bioinformatics|date=2024|doi=10.1093/bioinformatics/btae288| volume=40 | page=i3–i4}}</ref><ref name="NSR2025"/> Martin Steinegger collaborated with Google DeepMind on AlphaFold2 as its only external author, creating the BFD database for its homology retrieval stage<ref name="NSR2025">{{cite journal |last1=Zhao |first1=Weijie |title=New methods are revolutionizing biology: an interview with Martin Steinegger |journal=National Science Review |date=2025 |volume=12 |issue=6|pages=nwaf142 |doi=10.1093/nsr/nwaf142 |pmid=40376034 |pmc=12080219 }}</ref><ref name="nature20210715">{{Cite journal|last1=Jumper|first1=John|last2=Evans|first2=Richard|last3=Pritzel|first3=Alexander|last4=Green|first4=Tim|last5=Figurnov|first5=Michael|last6=Ronneberger|first6=Olaf|last7=Tunyasuvunakool|first7=Kathryn|last8=Bates|first8=Russ|last9=Žídek|first9=Augustin|last10=Potapenko|first10=Anna|last11=Bridgland|first11=Alex|last12=Meyer|first12=Clemens|last13=Kohl|first13=Simon A A|last14=Ballard|first14=Andrew J|last15=Cowie|first15=Andrew|last16=Romera-Paredes|first16=Bernardino|last17=Nikolov|first17=Stanislav|last18=Jain|first18=Rishub|last19=Adler|first19=Jonas|last20=Back|first20=Trevor|last21=Petersen|first21=Stig|last22=Reiman|first22=David|last23=Clancy|first23=Ellen|last24=Zielinski|first24=Michal|last25=Steinegger|first25=Martin|last26=Pacholska|first26=Michalina|last27=Berghammer|first27=Tamas|last28=Bodenstein|first28=Sebastian|last29=Silver|first29=David|last30=Vinyals|first30=Oriol|last31=Senior|first31=Andrew W|last32=Kavukcuoglu|first32=Koray|last33=Kohli|first33=Pushmeet|last34=Hassabis|first34=Demis|date=2021-07-15|title=Highly accurate protein structure prediction with AlphaFold|journal=Nature|volume=596|issue=7873|pages=583–589|language=en|doi=10.1038/s41586-021-03819-2|pmid=34265844|pmc=8371605|bibcode=2021Natur.596..583J|doi-access=free}}</ref>. This system formed the basis for the 2024 Nobel Prize in Chemistry awarded to [[Demis Hassabis]] and [[John Jumper]]<ref name="nobelweb">{{cite web |title=Nobel Prize in Chemistry 2024 |url=https://www.nobelprize.org/prizes/chemistry/2024/press-release/ |access-date=December 15, 2024}}</ref>. In 2024, he was awarded the [[Overton Prize]] by the [[International Society for Computational Biology]] (ISCB) for significant contributions to the field<ref name="OvertonPrize2"/>, and was also recognized as a [[Highly Cited Researchers|Highly Cited Researcher]] in Biology and Biochemistry by Clarivate <ref name="Clarivate2024">{{cite web |title=Highly Cited Researchers 2024 |url=https://clarivate.com/highly-cited-researchers/ |publisher=Clarivate |date=2024 |access-date=2025-06-20}}</ref> |
'''Martin Steinegger''' is a bioinformatician and associate professor in the Department of Biological Sciences at [[Seoul National University]] (SNU)..<ref name="NatureCareer2021"> {{cite journal |last1=Forrester |first1=Nikki |title=How new principal investigators tackled a tumultuous year |journal=Nature |date=June 2021 |volume=594 |issue=7861 |pages=135–137 |doi=10.1038/d41586-021-01311-5 |pmid=34002077 |bibcode=2021Natur.594..135F }} </ref> He is known for his contributions to computational biology, particularly in protein sequence and structure analysis<ref name="NatureMethodsFoldseek"/><ref name="Hutson2023af2"/>, protein structure analysis <ref name="Mueller2022Proteinstruktur"/>, and the development of efficient bioinformatics software tools.<ref name="OvertonPrize2">{{cite journal |last1=Wiper |first1=Mallory L |title=The 2024 ISCB Overton Prize Award—Dr Martin Steinegger |journal=Bioinformatics|date=2024|doi=10.1093/bioinformatics/btae288| volume=40 | page=i3–i4}}</ref><ref name="NSR2025"/> Martin Steinegger collaborated with Google DeepMind on AlphaFold2 as its only external author, creating the BFD database for its homology retrieval stage<ref name="NSR2025">{{cite journal |last1=Zhao |first1=Weijie |title=New methods are revolutionizing biology: an interview with Martin Steinegger |journal=National Science Review |date=2025 |volume=12 |issue=6|pages=nwaf142 |doi=10.1093/nsr/nwaf142 |pmid=40376034 |pmc=12080219 }}</ref><ref name="nature20210715">{{Cite journal|last1=Jumper|first1=John|last2=Evans|first2=Richard|last3=Pritzel|first3=Alexander|last4=Green|first4=Tim|last5=Figurnov|first5=Michael|last6=Ronneberger|first6=Olaf|last7=Tunyasuvunakool|first7=Kathryn|last8=Bates|first8=Russ|last9=Žídek|first9=Augustin|last10=Potapenko|first10=Anna|last11=Bridgland|first11=Alex|last12=Meyer|first12=Clemens|last13=Kohl|first13=Simon A A|last14=Ballard|first14=Andrew J|last15=Cowie|first15=Andrew|last16=Romera-Paredes|first16=Bernardino|last17=Nikolov|first17=Stanislav|last18=Jain|first18=Rishub|last19=Adler|first19=Jonas|last20=Back|first20=Trevor|last21=Petersen|first21=Stig|last22=Reiman|first22=David|last23=Clancy|first23=Ellen|last24=Zielinski|first24=Michal|last25=Steinegger|first25=Martin|last26=Pacholska|first26=Michalina|last27=Berghammer|first27=Tamas|last28=Bodenstein|first28=Sebastian|last29=Silver|first29=David|last30=Vinyals|first30=Oriol|last31=Senior|first31=Andrew W|last32=Kavukcuoglu|first32=Koray|last33=Kohli|first33=Pushmeet|last34=Hassabis|first34=Demis|date=2021-07-15|title=Highly accurate protein structure prediction with AlphaFold|journal=Nature|volume=596|issue=7873|pages=583–589|language=en|doi=10.1038/s41586-021-03819-2|pmid=34265844|pmc=8371605|bibcode=2021Natur.596..583J|doi-access=free}}</ref>. This system formed the basis for the 2024 Nobel Prize in Chemistry awarded to [[Demis Hassabis]] and [[John Jumper]]<ref name="nobelweb">{{cite web |title=Nobel Prize in Chemistry 2024 |url=https://www.nobelprize.org/prizes/chemistry/2024/press-release/ |access-date=December 15, 2024}}</ref>. In 2024, he was awarded the [[Overton Prize]] by the [[International Society for Computational Biology]] (ISCB) for significant contributions to the field<ref name="OvertonPrize2"/>, and was also recognized as a [[Highly Cited Researchers|Highly Cited Researcher]] in Biology and Biochemistry by Clarivate <ref name="Clarivate2024">{{cite web |title=Highly Cited Researchers 2024 |url=https://clarivate.com/highly-cited-researchers/ |publisher=Clarivate |date=2024 |access-date=2025-06-20}}</ref> |
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==Career== |
==Career== |
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After 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]]. |
After 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]]. |
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Latest revision as of 06:27, 27 June 2025
| Submission declined on 27 June 2025 by WikiMentor01 (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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| Submission declined on 25 June 2025 by Ldm1954 (talk). This draft's references do not show that the subject qualifies for a Wikipedia article. In summary, the draft needs to Declined by Ldm1954 2 days ago.
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| 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. Declined by WeirdNAnnoyed 6 months ago. | |
Comment: Article now cites Steinegger’s recognition as a Highly Cited Researcher in 2024 by Clarivate, which meets WP:NPROF for academic notability.
- Comment: Notability via WP:NPROF is not clear. His publication record is decent, but I don't think it is high enough yet. The Overton prize helps, but is not a senior prize of the type we look for. For certain notability is not inherited. Therefore the fact that he was involved in a project where two authors received a novel prize does not make him notable. You would need to find a statement by others that his role was critical for this to count towards notability. Ldm1954 (talk) 12:23, 25 June 2025 (UTC)
- 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 | |
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 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 (SNU)..[12] He is known for his contributions to computational biology, particularly in protein sequence and structure analysis[8][11], protein structure analysis [10], and the development of efficient bioinformatics software tools.[2][3] Martin Steinegger collaborated with Google DeepMind on AlphaFold2 as its only external author, creating the BFD database for its homology retrieval stage[3][13]. This system formed the basis for the 2024 Nobel Prize in Chemistry awarded to Demis Hassabis and John Jumper[14]. In 2024, he was awarded the Overton Prize by the International Society for Computational Biology (ISCB) for significant contributions to the field[2], and was also recognized as a Highly Cited Researcher in Biology and Biochemistry by Clarivate [15]
Career
[edit]After 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[16], he became an assistant professor in the Department of Biological Sciences at Seoul National University (SNU) in 2020[12][3]. 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.
- ^ a b c d Wiper, Mallory L (2024). "The 2024 ISCB Overton Prize Award—Dr Martin Steinegger". Bioinformatics. 40: i3–i4. doi:10.1093/bioinformatics/btae288.
- ^ a b c d e Zhao, Weijie (2025). "New methods are revolutionizing biology: an interview with Martin Steinegger". National Science Review. 12 (6): nwaf142. doi:10.1093/nsr/nwaf142. PMC 12080219. PMID 40376034.
- ^ 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.
- ^ Müller, Henrik (2021). "Interview mit Martin Steinegger über AlphaFold2 und ColabFold" (PDF). Laborjournal (in German). pp. 70–73.
- ^ 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.
- ^ a b Editorial (2023). "Speedier protein structure search". Nature Methods. 20 (9): 1059. doi:10.1038/s41592-023-01953-5. PMID 37434010.
- ^ Oldach, Laurel (2022). "Advancing structural biology to blazing speed". ASBMB Today. Retrieved 2025-06-20.
- ^ a b Müller, Henrik (2022). "Computerbasierte Proteinstruktur-Vorhersage" (PDF). Laborjournal (in German). pp. 46–49.
- ^ a b Hutson, Matthew (2022). "Foldseek gives AlphaFold protein database a rapid search tool". Nature. 608 (7921): 15–16. doi:10.1038/d41586-022-02083-2. PMID 35902752.
- ^ a b Forrester, Nikki (June 2021). "How new principal investigators tackled a tumultuous year". Nature. 594 (7861): 135–137. Bibcode:2021Natur.594..135F. doi:10.1038/d41586-021-01311-5. PMID 34002077.
- ^ 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 2024". Retrieved December 15, 2024.
- ^ "Highly Cited Researchers 2024". Clarivate. 2024. Retrieved 2025-06-20.
- ^ "Lab News – Martin Steinegger wins 2024 ISCB Overton Prize". Salzberg Lab. February 2024. Retrieved June 20, 2025.