Literature DB >> 32621234

Protein Structure Modeling from Cryo-EM Map Using MAINMAST and MAINMAST-GUI Plugin.

Genki Terashi1, Yuhong Zha2, Daisuke Kihara3,4.   

Abstract

Protein structure modeling is a fundamental step for the structural interpretation of 3D electron microscopy (EM) density map. Recently, because of the significant progress of the cryo-EM technique, protein structure modeling tools are needed for EM maps determined around 4 Å resolution. At this rear atomic resolution, finding main-chain structure and assigning the amino acid sequence into EM map are still challenging problems. We have developed a de novo modeling tool named MAINMAST for EM maps at near-atomic resolution (~4.5 Å). MAINMAST can trace the backbone structure of a protein from an EM density map directory. We also developed a Graphical User Interface (GUI) plugin of MAINMAST for the UCSF Chimera so that users can monitor structures at each step of a modeling procedure. In this chapter, we demonstrate two examples of the use of MAINMAST software and MAINMAST-GUI to build protein structure model from an EM density map. MAINMAST software and MAINMAST-GUI plugin are freely available for academic users at http://kiharalab.org/mainmast/index.html .

Entities:  

Keywords:  Cryo-EM; De novo modeling; Graph theory; MAINMAST; Minimum spanning tree; Protein structure modeling

Mesh:

Year:  2020        PMID: 32621234     DOI: 10.1007/978-1-0716-0708-4_19

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  2 in total

1.  Protein Structural Modeling for Electron Microscopy Maps Using VESPER and MAINMAST.

Authors:  Eman Alnabati; Genki Terashi; Daisuke Kihara
Journal:  Curr Protoc       Date:  2022-07

2.  MarkovFit: Structure Fitting for Protein Complexes in Electron Microscopy Maps Using Markov Random Field.

Authors:  Eman Alnabati; Juan Esquivel-Rodriguez; Genki Terashi; Daisuke Kihara
Journal:  Front Mol Biosci       Date:  2022-07-25
  2 in total

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