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

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...

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Detalles Bibliográficos
Autores principales: Terashi, Genki, Kihara, Daisuke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6179447/
https://www.ncbi.nlm.nih.gov/pubmed/30075190
http://dx.doi.org/10.1016/j.jsb.2018.07.013
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author Terashi, Genki
Kihara, Daisuke
author_facet Terashi, Genki
Kihara, Daisuke
author_sort Terashi, Genki
collection PubMed
description 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 Cα 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 Å RMSD. Unsuccessful models had failure of chain traces, however, their Cα 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 Cα position from the consensus of top 100 scoring models.
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spelling pubmed-61794472018-11-01 De novo main-chain modeling with MAINMAST in 2015/2016 EM Model Challenge Terashi, Genki Kihara, Daisuke J Struct Biol Article 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 Cα 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 Å RMSD. Unsuccessful models had failure of chain traces, however, their Cα 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 Cα position from the consensus of top 100 scoring models. 2018-07-31 2018-11 /pmc/articles/PMC6179447/ /pubmed/30075190 http://dx.doi.org/10.1016/j.jsb.2018.07.013 Text en https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license(http://creativecommons.org/licenses/BY/4.0/ (https://creativecommons.org/licenses/by/4.0/) ).
spellingShingle Article
Terashi, Genki
Kihara, Daisuke
De novo main-chain modeling with MAINMAST in 2015/2016 EM Model Challenge
title De novo main-chain modeling with MAINMAST in 2015/2016 EM Model Challenge
title_full De novo main-chain modeling with MAINMAST in 2015/2016 EM Model Challenge
title_fullStr De novo main-chain modeling with MAINMAST in 2015/2016 EM Model Challenge
title_full_unstemmed De novo main-chain modeling with MAINMAST in 2015/2016 EM Model Challenge
title_short De novo main-chain modeling with MAINMAST in 2015/2016 EM Model Challenge
title_sort de novo main-chain modeling with mainmast in 2015/2016 em model challenge
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6179447/
https://www.ncbi.nlm.nih.gov/pubmed/30075190
http://dx.doi.org/10.1016/j.jsb.2018.07.013
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