Accurate prediction of nucleic acid and protein-nucleic acid complexes using RoseTTAFoldNA
Publication type: Posted Content
Publication date: 2022-09-10
Abstract
Protein-nucleic acid complexes play critical roles in biology. Despite considerable recent advances in protein structure prediction, the prediction of the structures of protein-nucleic acid complexes without homology to known complexes is a largely unsolved problem. Here we extend the RoseTTAFold end-to-end deep learning approach to modeling of nucleic acid and protein-nucleic acid complexes. We develop a single trained network, RoseTTAFoldNA, that rapidly produces 3D structure models with confidence estimates for protein-DNA and protein-RNA complexes, and for RNA tertiary structures. In all three cases, confident predictions have considerably higher accuracy than current state of the art methods. RoseTTAFoldNA should be broadly useful for modeling the structure of naturally occurring protein-nucleic acid complexes, and for designing sequence specific RNA and DNA binding proteins.
Top-30
Citations by journals
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Nature Communications
3 publications, 6.98%
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Nucleic Acids Research
2 publications, 4.65%
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Frontiers in Bioengineering and Biotechnology
1 publication, 2.33%
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Molecules
1 publication, 2.33%
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Frontiers in Chemistry
1 publication, 2.33%
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Frontiers in Bioinformatics
1 publication, 2.33%
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Computational and Structural Biotechnology Journal
1 publication, 2.33%
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Current Opinion in Structural Biology
1 publication, 2.33%
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Biological Chemistry
1 publication, 2.33%
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Proteins: Structure, Function and Genetics
1 publication, 2.33%
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Australian Journal of Chemistry
1 publication, 2.33%
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Nature Reviews Molecular Cell Biology
1 publication, 2.33%
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Nature
1 publication, 2.33%
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Science
1 publication, 2.33%
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Journal of Molecular Biology
1 publication, 2.33%
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Russian Chemical Reviews
1 publication, 2.33%
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Trends in Genetics
1 publication, 2.33%
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Biophysical Journal
1 publication, 2.33%
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Citations by publishers
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Cold Spring Harbor Laboratory
15 publications, 34.88%
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Elsevier
5 publications, 11.63%
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Springer Nature
5 publications, 11.63%
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Frontiers Media S.A.
3 publications, 6.98%
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Oxford University Press
2 publications, 4.65%
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Multidisciplinary Digital Publishing Institute (MDPI)
1 publication, 2.33%
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Walter de Gruyter
1 publication, 2.33%
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Wiley
1 publication, 2.33%
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CSIRO Publishing
1 publication, 2.33%
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IEEE
1 publication, 2.33%
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American Association for the Advancement of Science (AAAS)
1 publication, 2.33%
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Autonomous Non-profit Organization Editorial Board of the journal Uspekhi Khimii
1 publication, 2.33%
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- We do not take into account publications without a DOI.
- Statistics recalculated only for publications connected to researchers, organizations and labs registered on the platform.
- Statistics recalculated weekly.
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