Baek et al. |

RoseTTAFold2NA

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Protein Design
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Step 1: Upload your data

Upload a Binding Protein .FA File

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  • Your file can be in the following formats:fa
  • The .fa file format, also known as the FASTA format, is a text-based format for representing nucleotide or peptide sequences. Each sequence in a FASTA file is represented by a series of lines, with the first line beginning with a greater-than (>) symbol followed by a description or identifier of the sequence.
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Use our demo data to run
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Upload a Nucleic Acid .FA File

Drag your file(s) or upload
  • Your file can be in the following formats:fa
  • The .fa file format, also known as the FASTA format, is a text-based format for representing nucleotide or peptide sequences. Each sequence in a FASTA file is represented by a series of lines, with the first line beginning with a greater-than (>) symbol followed by a description or identifier of the sequence.
or
Don’t have a file?
Use our demo data to run
Use Demo Data
Step 2: Set Parameters
RNA

RoseTTAFold2NA is an advanced computational tool developed to predict the structures of protein/nucleic acid complexes with high accuracy. Building on the RoseTTAFold framework, which utilizes state-of-the-art deep learning techniques for protein structure prediction, RoseTTAFold2NA integrates the modeling of nucleic acids, thereby extending its capabilities to include complex biomolecular interactions.

Example use case: Predict the structure of viral RNA-protein complexes to identify targets for designing inhibitors.

Technology: Neural Network

Citation:
Baek, M., McHugh, R., Anishchenko, I. et al. Accurate prediction of protein–nucleic acid complexes using RoseTTAFoldNA. Nat Methods 21, 117–121 (2024). https://doi.org/10.1038/s41592-023-02086-5
Released:
Jul-08-2024
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