article Open AccessTop 1% cited
Fast and accurate protein structure search with Foldseek
Nature Biotechnology · 2023 · Vol. 42(2) · pp. 243–246
Michel van Kempen✉(Max Planck Institute for Multidisciplinary Sciences)Stephanie Kim(Seoul National University)Charlotte Tumescheit(Seoul National University)Milot Mirdita(Seoul National University)Jeong-Jae Lee(Seoul National University)Cameron L. M. Gilchrist(Seoul National University)Johannes Söding(Max Planck Institute for Solar System Research)Martin Steinegger(Seoul National University)
Abstract
As structure prediction methods are generating millions of publicly available protein structures, searching these databases is becoming a bottleneck. Foldseek aligns the structure of a query protein against a database by describing tertiary amino acid interactions within proteins as sequences over a structural alphabet. Foldseek decreases computation times by four to five orders of magnitude with 86%, 88% and 133% of the sensitivities of Dali, TM-align and CE, respectively.
Protein Structure and DynamicsMachine Learning in BioinformaticsRNA and protein synthesis mechanismsBottleneckAlphabetComputer scienceComputationProtein structureProtein tertiary structureComputational biologyInformation retrievalAlgorithmChemistry
MeSH terms
AlgorithmsAmino AcidsProteinsSoftwareDatabases, Protein
Funding
- National Research Foundation of Korea
- Max-Planck-Gesellschaft
Citations
2,136
FWCI
325.03
field-weighted impact
References
49
Percentile
100%
vs. same field & year
Citations per year
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