4.4 Article

De novo main-chain modeling with MAINMAST in 2015/2016 EM Model Challenge

Journal

JOURNAL OF STRUCTURAL BIOLOGY
Volume 204, Issue 2, Pages 351-359

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jsb.2018.07.013

Keywords

Cryo-EM; Electron microscopy; Protein structure modeling; CryoEM Model Challenge; Main-chain trace; Map interpretation; MAINMAST; Mean shifting algorithm; Minimum spanning tree; Rosetta; confidence score

Funding

  1. National Institutes of Health [R01GM123055, R01GM097528]
  2. National Science Foundation [IIS1319551, DMS1614777]

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Protein tertiary structure modeling is a critical step for the interpretation of three dimensional (3D) election microscopy density. Our group participated the 2015/2016 EM Model Challenge using the MAINMAST software for a de novo main chain modeling. The software generates local dense points using the mean shifting algorithm, and connects them into C alpha models by calculating the minimum spanning tree and the longest path. Subsequently, full atom structure models are generated, which are subject to structural refinement. Here, we summarize the qualities of our submitted models and examine successful and unsuccessful models, including 3D models we did not submit to the Challenge. Our protocol using the MAINMAST software was sometimes able to build correct conformations with 3.4-5.1 angstrom RMSD. Unsuccessful models had failure of chain traces, however, their Ca positions and some local structures were quite correctly built. For evaluate the quality of the models, the MAINMAST software provides a confidence score for each Ca position from the consensus of top 100 scoring models.

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