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Unsupervised determination of protein crystal structures
We present a method for automatic solution of protein crystal structures. The method proceeds with a single initial model obtained, for instance, by molecular replacement (MR). If a good-quality search model is not available, as often is the case with MR of distant homologs, our method first can aut...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6561213/ https://www.ncbi.nlm.nih.gov/pubmed/31088963 http://dx.doi.org/10.1073/pnas.1821512116 |
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author | Ufimtsev, Ivan S. Levitt, Michael |
author_facet | Ufimtsev, Ivan S. Levitt, Michael |
author_sort | Ufimtsev, Ivan S. |
collection | PubMed |
description | We present a method for automatic solution of protein crystal structures. The method proceeds with a single initial model obtained, for instance, by molecular replacement (MR). If a good-quality search model is not available, as often is the case with MR of distant homologs, our method first can automatically screen a large pool of poorly placed models and single out promising candidates for further processing if there are any. We demonstrate its utility by solving a set of synthetic cases in the 2.9- to 3.45-Å resolution. |
format | Online Article Text |
id | pubmed-6561213 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-65612132019-06-17 Unsupervised determination of protein crystal structures Ufimtsev, Ivan S. Levitt, Michael Proc Natl Acad Sci U S A Biological Sciences We present a method for automatic solution of protein crystal structures. The method proceeds with a single initial model obtained, for instance, by molecular replacement (MR). If a good-quality search model is not available, as often is the case with MR of distant homologs, our method first can automatically screen a large pool of poorly placed models and single out promising candidates for further processing if there are any. We demonstrate its utility by solving a set of synthetic cases in the 2.9- to 3.45-Å resolution. National Academy of Sciences 2019-05-28 2019-05-14 /pmc/articles/PMC6561213/ /pubmed/31088963 http://dx.doi.org/10.1073/pnas.1821512116 Text en Copyright © 2019 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Biological Sciences Ufimtsev, Ivan S. Levitt, Michael Unsupervised determination of protein crystal structures |
title | Unsupervised determination of protein crystal structures |
title_full | Unsupervised determination of protein crystal structures |
title_fullStr | Unsupervised determination of protein crystal structures |
title_full_unstemmed | Unsupervised determination of protein crystal structures |
title_short | Unsupervised determination of protein crystal structures |
title_sort | unsupervised determination of protein crystal structures |
topic | Biological Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6561213/ https://www.ncbi.nlm.nih.gov/pubmed/31088963 http://dx.doi.org/10.1073/pnas.1821512116 |
work_keys_str_mv | AT ufimtsevivans unsuperviseddeterminationofproteincrystalstructures AT levittmichael unsuperviseddeterminationofproteincrystalstructures |