Martin Steinegger

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Citations	18547	18488
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Milot MirditaSeoul National UniversityVerified email at mirdita.de
Johannes SödingMax-Planck-Institute for Multidisciplinary Sciences, GöttingenVerified email at mpinat.mpg.de
Burkhard RostProfessor of Computer Science & Computational Biology & Bioinformatics, TUM, MunichVerified email at tum.de
Michael HeinzingerTechnische Universität MünchenVerified email at tum.de
Sergey OvchinnikovHarvard UniversityVerified email at fas.harvard.edu
Christian DallagoNVIDIA & Technische Universität MünchenVerified email at tum.de
Steven SalzbergBloomberg Distinguished Professor, Johns Hopkins UniversityVerified email at jhu.edu
Clovis GaliezGrenoble-Alpes University, Grenoble INP, LJKVerified email at grenoble-inp.fr
Ahmed ElnaggarTechnical University of MunichVerified email at tum.de
Debsindhu BhowmikComputational Scientist, Oak Ridge National LaboratoryVerified email at ornl.gov
Antonio Fernàndez-GuerraLundbeck Foundation GeoGenetics CentreVerified email at sund.ku.dk
Tom O. DelmontCNRS - Genoscope - TARA anvi-OceansVerified email at genoscope.cns.fr
Prof. Dr. Frank Oliver GlöcknerAlfred Wegener Institute Bremerhaven, MARUM, University of Bremen, Jacobs UniversityVerified email at awi.de
Maria J. MartinEuropean Bioinformatics InstituteVerified email at ebi.ac.uk
Vikram AlvaMax Planck Institute for BiologyVerified email at tuebingen.mpg.de
Andrei LupasDirector of the Department of Protein Evolution, Max-Planck-Institute for Developmental BiologyVerified email at tuebingen.mpg.de
Christof AngermuellerGoogleVerified email at google.com
Demis HassabisDeepMind
John JumperDeepMindVerified email at google.com
David SilverDeepMind, UCLVerified email at google.com

Martin Steinegger

Assistant Professor of Bioinformatics, Seoul National University, Korea

Verified email at snu.ac.kr - Homepage

Bioinformatics


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Highly accurate protein structure prediction with AlphaFold J Jumper, R Evans, A Pritzel, T Green, M Figurnov, O Ronneberger, ... Nature, 2021	11712	2021
ColabFold: making protein folding accessible to all M Mirdita, K Schütze, Y Moriwaki, L Heo, S Ovchinnikov, M Steinegger Nature Methods, 679–682, 2022	1709	2022
MMseqs2 enables sensitive protein sequence searching for the analysis of massive data sets M Steinegger, J Söding Nature biotechnology 35 (11), 1026-1028, 2017	1248	2017
HH-suite3 for fast remote homology detection and deep protein annotation M Steinegger, M Meier, M Mirdita, H Vöhringer, SJ Haunsberger, J Söding BMC Bioinformatics 20, 2019	591	2019
ProtTrans: Towards Cracking the Language of Lifes Code Through Self-Supervised Deep Learning and High Performance Computing A Elnaggar, M Heinzinger, C Dallago, G Rehawi, Y Wang, L Jones, ... IEEE Transactions on Pattern Analysis and Machine Intelligence 14 (8), 2021	570*	2021
Clustering huge protein sequence sets in linear time M Steinegger, J Söding Nature communications 9 (1), 2542, 2018	441	2018
Uniclust databases of clustered and deeply annotated protein sequences and alignments M Mirdita, L von den Driesch, C Galiez, MJ Martin, J Söding, M Steinegger Nucleic Acids Research, 2016	429	2016
Protein sequence analysis using the MPI bioinformatics toolkit F Gabler, SZ Nam, S Till, M Mirdita, M Steinegger, J Söding, AN Lupas, ... Current Protocols in Bioinformatics 72 (1), e108, 2020	328	2020
Protein-level assembly increases protein sequence recovery from metagenomic samples manyfold M Steinegger, M Mirdita, J Söding Nature Methods 16, 603–606, 2019	211	2019
MMseqs2 desktop and local web server app for fast, interactive sequence searches M Mirdita, M Steinegger, J Söding Bioinformatics 35 (16), 2856–2858, 2019	186	2019
Applying and improving AlphaFold at CASP14 J Jumper, R Evans, A Pritzel, T Green, M Figurnov, O Ronneberger, ... Proteins: Structure, Function, and Bioinformatics 89 (12), 1711-1721, 2021	156	2021
High accuracy protein structure prediction using deep learning J Jumper, R Evans, A Pritzel, T Green, M Figurnov, K Tunyasuvunakool, ... Fourteenth Critical Assessment of Techniques for Protein Structure …, 2020	141	2020
MMseqs software suite for fast and deep clustering and searching of large protein sequence sets M Hauser, M Steinegger, J Söding Bioinformatics 32 (9), 1323-1330, 2016	124	2016
Terminating contamination: large-scale search identifies more than 2,000,000 contaminated entries in GenBank M Steinegger, SL Salzberg Genome Biology 21, 2020	121	2020
PredictProtein - Predicting Protein Structure and Function for 29 Years M Bernhofer, C Dallago, T Karl, V Satagopam, M Heinzinger, M Littmann, ... Nucleic Acids Research, 2021	108	2021
Fast and accurate protein structure search with Foldseek M van Kempen, SS Kim, C Tumescheit, M Mirdita, J Lee, CLM Gilchrist, ... Nature Biotechnology, 1-4, 2023	95*	2023
Fast and sensitive taxonomic assignment to metagenomic contigs M Mirdita, M Steinegger, F Breitwieser, J Söding, E Levy Karin Bioinformatics, 2021	75	2021
Unifying the known and unknown microbial coding sequence space C Vanni, MS Schechter, SG Acinas, A Barberán, PL Buttigieg, ... Elife 11, e67667, 2022	40*	2022
DescribePROT: database of amino acid-level protein structure and function predictions B Zhao, A Katuwawala, CJ Oldfield, AK Dunker, E Faraggi, J Gsponer, ... Nucleic Acids Research 49 (D1), D298-D308, 2021	34	2021
Gearing up to handle the mosaic nature of life in the quest for orthologs K Forslund, C Pereira, S Capella-Gutierrez, AS da Silva, A Altenhoff, ... Bioinformatics 34 (2), 323-329, 2018	32	2018

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