| ColabFold - Making protein folding accessible to all M Mirdita, K Schütze, Y Moriwaki, L Heo, S Ovchinnikov, M Steinegger Nature Methods 19, 679–682, 2022 | 4594 | 2022 |
| HH-suite3 for fast remote homology detection and deep protein annotation M Steinegger, M Meier, M Mirdita, H Voehringer, SJ Haunsberger, ... BMC Bioinformatics 20 (1), 473, 2019 | 848 | 2019 |
| Fast and accurate protein structure search with Foldseek M van Kempen, SS Kim, C Tumescheit, M Mirdita, Lee, ... Nature Biotechnology, 2023 | 636* | 2023 |
| 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 45 (D1), D170-D176, 2017 | 588 | 2017 |
| 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 | 534 | 2020 |
| MMseqs2 desktop and local web server app for fast, interactive sequence searches M Mirdita, M Steinegger, J Söding Bioinformatics 35 (16), 2856-2858, 2019 | 355 | 2019 |
| Protein-level assembly increases protein sequence recovery from metagenomic samples manyfold M Steinegger, M Mirdita, J Söding Nature Methods 16 (7), 603-606, 2019 | 330 | 2019 |
| PredictProtein - Predicting Protein Structure and Function for 29 Years M Bernhofer, C Dallago, T Karl, V Satagopam, M Heinzinger, M Littmann, ... Nucleic Acids Research 49 (W1), W535–W540, 2021 | 184 | 2021 |
| MetaEuk—sensitive, high-throughput gene discovery, and annotation for large-scale eukaryotic metagenomics E Levy Karin, M Mirdita, J Söding Microbiome 8, 1-15, 2020 | 175 | 2020 |
| Fast and sensitive taxonomic assignment to metagenomic contigs M Mirdita, M Steinegger, F Breitwieser, J Soeding, E Levy Karin Bioinformatics 37 (18), 3029–3031, 2021 | 139 | 2021 |
| Clustering predicted structures at the scale of the known protein universe I Barrio-Hernandez, J Yeo, J Jänes, M Mirdita, CLM Gilchrist, T Wein, ... Nature 622, 637–645, 2023 | 95 | 2023 |
| AlphaFold Protein Structure Database in 2024: providing structure coverage for over 214 million protein sequences M Varadi, D Bertoni, P Magana, U Paramval, I Pidruchna, ... Nucleic acids research 52 (D1), D368-D375, 2024 | 71 | 2024 |
| SpacePHARER: Sensitive identification of phages from CRISPR spacers in prokaryotic hosts R Zhang, M Mirdita, E Levy Karin, C Norroy, C Galiez, J Soeding Bioinformatics 37 (19), 3364–3366, 2021 | 57 | 2021 |
| 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 | 52 | 2021 |
| Bilingual Language Model for Protein Sequence and Structure M Heinzinger, K Weissenow, J Gomez Sanchez, A Henkel, M Mirdita, ... bioRxiv, 2023.07.23.550085, 2024 | 27 | 2024 |
| Going to extremes – a metagenomic journey into the dark matter of life A Aevarsson, AK Kaczorowska, BT Adalsteinsson, J Ahlqvist, ... FEMS Microbiology Letters 368 (12), fnab067, 2021 | 26 | 2021 |
| Cloud prediction of protein structure and function with PredictProtein for Debian L Kaján, G Yachdav, E Vicedo, M Steinegger, M Mirdita, C Angermüller, ... BioMed Research International 2013 (1), 398968, 2013 | 24 | 2013 |
| An analysis and evaluation of the WeFold collaborative for protein structure prediction and its pipelines in CASP11 and CASP12 C Keasar, LJ McGuffin, B Wallner, G Chopra, B Adhikari, D Bhattacharya, ... Scientific Reports 8 (1), 1-18, 2018 | 23 | 2018 |
| Cross-phyla protein annotation by structural prediction and alignment F Ruperti, N Papadopoulos, JM Musser, M Mirdita, M Steinegger, ... Genome Biology 24 (1), 113, 2023 | 14* | 2023 |
| Foldcomp: a library and format for compressing and indexing large protein structure sets H Kim, M Mirdita, M Steinegger Bioinformatics 39 (4), btad153, 2023 | 11 | 2023 |
Martin SteineggerAssociate Professor, Seoul National University, Korea在 snu.ac.kr 的电子邮件经过验证
