RoseTTAFold¶

Description¶

This repository is the official implementation of RoseTTAFold: Accurate prediction of protein structures and interactions using a 3-track network.

ROSETTAFOLD_WEIGHTS - network weights * BFD - BFD database * UNIREF30 - uniref30 database * STRUCTURE_TEMPLATES - structure templates

Environment Modules¶

Run module spider rosettafold to find out what environment modules are available for this application.

Environment Variables¶

HPC_ROSETTAFOLD_DIR - installation directory
HPC_ROSETTAFOLD_BIN - executable directory

Citation¶

If you publish research that uses rosettafold you have to cite it as follows:

Baek, M., DiMaio, F., Anishchenko, I., Dauparas, J., Ovchinnikov, S., Lee, G. R., Wang, J., Cong, Q., Kinch, L. N., Schaeffer, R. D., Millán, C., Park, H., Adams, C., Glassman, C. R., DeGiovanni, A., Pereira, J. H., Rodrigues, A. V., van Dijk, A. A., Ebrecht, A. C., ... Baker, D. (2021). Accurate prediction of protein structures and interactions using a three-track neural network. Science, 373(6557), 871-876. https://doi.org/10.1126/science.abj8754

Categories¶

phylogenetics