Krishna et al. |
RoseTTAFold All-Atom
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RoseTTAFold All-Atom (RFAA) integrates a residue-based representation for amino acids and DNA bases with an atomic-level representation for all other groups, enabling the modeling of assemblies that include proteins, nucleic acids, small molecules, metals, and covalent modifications based on their sequences and chemical structures.
Example use case: Predicting protein structures
Technology: Neural Networks
Limitation:
- Predicting covalently modified proteins is not applicable currently. Please contact us if you have any questions.
- Due to license restrictions, the SignalP 6.0 tool will not be used in job runs.
- Important: To ensure proper creation of the inference config file in RoseTTAFold All-Atom, we require that FASTA file names follow a specific format. Please rename your FASTA files to match the exact format below:
- filename_ (e.g., proteinXYZ_A.fasta). The file name must include both the filename and the chain letter, separated by an underscore ('_'). Please see here for more.
- .fasta
Citation:
Rohith Krishna et al. ,Generalized biomolecular modeling and design with RoseTTAFold All-Atom.Science384,eadl2528(2024).DOI:10.1126/science.adl2528
Released:
Aug-28-2024
Aug-28-2024
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