Search
Tumblr

SBGridTV
Button for mobile navigation
Join us

Supported Applications

DeepFoldRNA

  • Description

    a deep-learning based method for de novo RNA tertiary structure prediction.

  • Usage

    To list all executables provided by DeepFoldRNA, run: $ sbgrid-list deepfoldrna Copy to clipboard

  • Installation

    Use the following command to install this title with the CLI client: $ sbgrid-cli install deepfoldrna Copy to clipboard Available operating systems: Linux 64

  • Primary Citation*

    R. Pearce, G. S. Omenn, and Y. Zhang. 2022. De Novo RNA Tertiary Structure Prediction at Atomic Resolution Using Geometric Potentials from Deep Learning. bioRxiv 2022.05.15.491755.


    • *Full citation information available through

  • Webinars

    DeepFoldRNA

    SBGrid webinars are hosted with partial support from the NIH R25 Continuing Education for Structural Biology Mentors #GM151273, in collaboration with Co-PI Jamaine Davis of Meharry Medical College.

    Topic: A deep-learning based method for de novo RNA tertiary structure prediction.

    Presenter: Robin Pearce, Ph.D. student, Yang Zhang's lab, University of Michigan Medical School.

    Host: Jason Key
    Recorded on December 12, 2023

    For more information on DeepFoldRNA:

    https://sbgrid.org/software/titles/deepfoldrna
    https://seq2fun.dcmb.med.umich.edu/DeepFoldRNA/
    https://seq2fun.dcmb.med.umich.edu/DeepFoldRNA/help.html
    https://zhanggroup.org/forum/

Scroll