Milot Mirdita
Milot Mirdita
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Cited by
Cited by
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
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
Fast and accurate protein structure search with Foldseek
M van Kempen, SS Kim, C Tumescheit, M Mirdita, Lee, ...
Nature Biotechnology, 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
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
MMseqs2 desktop and local web server app for fast, interactive sequence searches
M Mirdita, M Steinegger, J Söding
Bioinformatics 35 (16), 2856-2858, 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
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
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
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
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
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
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
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
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
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
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
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
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
Foldcomp: a library and format for compressing and indexing large protein structure sets
H Kim, M Mirdita, M Steinegger
Bioinformatics 39 (4), btad153, 2023
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