Cargando…
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...
Autores principales: | , |
---|---|
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 |
_version_ | 1783362092107038720 |
---|---|
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. |
format | Online Article Text |
id | pubmed-6179447 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT terashigenki denovomainchainmodelingwithmainmastin20152016emmodelchallenge AT kiharadaisuke denovomainchainmodelingwithmainmastin20152016emmodelchallenge |