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DEEPMAINMAST

  • Description

    a de novo modeling protocol to build an entire protein 3D model directly from near-atomic (up to about 5 Angstrom) resolution EM map.

  • Usage

    To list all executables provided by DEEPMAINMAST, run: $ sbgrid-list deepmainmast Copy to clipboard

  • Installation

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

  • Primary Citation*

    G. Terashi, X. Wang, D. Prasad, T. Nakamura, and D. Kihara. 2024. DeepMainmast: integrated protocol of protein structure modeling for cryo-EM with deep learning and structure prediction. Nature Methods. 21, 122-131.


    • *Full citation information available through

  • Webinars

    DeepMainmast and DAQ

    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: Structure modeling and validation using AI-based methods: DeepMainmast and DAQ

    Presenter: Genki Terashi, Ph.D. Assistant Research Scientist, Daisuke Kihara's Laboratory, Purdue University

    Host: Jason Key
    Recorded on March 11, 2025

    For more information on deepmainmast & daq:
    https://sbgrid.org/software/titles/deepmainmast
    https://sbgrid.org/software/titles/daq

  • Default Versions

    Linux 64:  20240112 (7.7 GB)

  • Developers

    Genki Terashi, Daisuke Kihara, Tsukasa Nakamura, Devashish Prasad, Xiao Wang

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