MMseqs2 enables sensitive protein sequence searching for the analysis of massive data sets

Martin Steinegger(Institute of Molecular Biology), Johannes Söding(Quantitative BioSciences)

Nature Biotechnology

October 16, 2017

10.1038/nbt.3988

Cited by 4,988

Related Papers

HHblits: lightning-fast iterative protein sequence searching by HMM-HMM alignment

|Nature Methods|2011|2.5k

AlphaFold Protein Structure Database in 2024: providing structure coverage for over 214 million protein sequences

|Nucleic Acids Research|2023|1.9k

Clustering huge protein sequence sets in linear time

|Nature Communications|2018|973

Clustering predicted structures at the scale of the known protein universe

|Nature|2023|362

AlphaFold Protein Structure Database and 3D-Beacons: New Data and Capabilities

|Journal of Molecular Biology|2025|187