Martin Steinegger

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Citations	33768	33628
h-index	27	27
i10-index	40	39

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Milot MirditaSeoul National UniversityVerified email at snu.ac.kr
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 OvchinnikovMITVerified email at mit.edu
Christian DallagoNVIDIA & Technische Universität MünchenVerified email at tum.de
Steven SalzbergBloomberg Distinguished Professor, Johns Hopkins UniversityVerified email at jhu.edu
Ahmed ElnaggarTechnical University of MunichVerified email at tum.de
Debsindhu BhowmikComputational Scientist, Oak Ridge National LaboratoryVerified email at ornl.gov
Clovis GaliezGrenoble-Alpes University, Grenoble INP, LJKVerified email at grenoble-inp.fr
Antonio Fernàndez-GuerraCentre for Ancient Environmental GenomicsVerified 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 BremenVerified 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 BiologyVerified email at tuebingen.mpg.de
Christof AngermuellerGoogleVerified email at google.com
John JumperDeepMindVerified email at google.com
Demis HassabisDeepMind
David SilverDeepMind, UCLVerified email at google.com

Martin Steinegger

Associate Professor, 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	21365	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	3840	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	1955	2017
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	1068*	2021
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	807	2019
Clustering huge protein sequence sets in linear time M Steinegger, J Söding Nature communications 9 (1), 2542, 2018	612	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	552	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	501	2020
Fast and accurate protein structure search with Foldseek M van Kempen, SS Kim, C Tumescheit, M Mirdita, J Lee, CLM Gilchrist, ... Nature Biotechnology 42, 243–246, 2023	479*	2023
MMseqs2 desktop and local web server app for fast, interactive sequence searches M Mirdita, M Steinegger, J Söding Bioinformatics 35 (16), 2856–2858, 2019	318	2019
Protein-level assembly increases protein sequence recovery from metagenomic samples manyfold M Steinegger, M Mirdita, J Söding Nature Methods 16, 603–606, 2019	303	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	265	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	225*	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	167	2021
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	163	2016
Terminating contamination: large-scale search identifies more than 2,000,000 contaminated entries in GenBank M Steinegger, SL Salzberg Genome Biology 21, 2020	157	2020
Metagenome analysis using the Kraken software suite J Lu, N Rincon, DE Wood, FP Breitwieser, C Pockrandt, B Langmead, ... Nature Protocols, 2022	142	2022
Fast and sensitive taxonomic assignment to metagenomic contigs M Mirdita, M Steinegger, F Breitwieser, J Söding, E Levy Karin Bioinformatics, 2021	123	2021
ProtTrans: Towards cracking the language of Life’s code through self-supervised deep learning and high performance computing. arXiv 2020 A Elnaggar, M Heinzinger, C Dallago, G Rihawi, Y Wang, L Jones, ... arXiv preprint arXiv:2007.06225, 2020	87	2020
Unifying the known and unknown microbial coding sequence space C Vanni, MS Schechter, SG Acinas, A Barberán, PL Buttigieg, ... Elife 11, e67667, 2022	64*	2022

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