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PRIME-3D2D is a 3D2D model to predict binding sites of protein–RNA interaction
Protein-RNA interaction participates in many biological processes. So, studying protein–RNA interaction can help us to understand the function of protein and RNA. Although the protein–RNA 3D3D model, like PRIME, was useful in building 3D structural complexes, it can’t be used genome-wide, due to lac...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7366699/ https://www.ncbi.nlm.nih.gov/pubmed/32678300 http://dx.doi.org/10.1038/s42003-020-1114-y |
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author | Xie, Juan Zheng, Jinfang Hong, Xu Tong, Xiaoxue Liu, Shiyong |
author_facet | Xie, Juan Zheng, Jinfang Hong, Xu Tong, Xiaoxue Liu, Shiyong |
author_sort | Xie, Juan |
collection | PubMed |
description | Protein-RNA interaction participates in many biological processes. So, studying protein–RNA interaction can help us to understand the function of protein and RNA. Although the protein–RNA 3D3D model, like PRIME, was useful in building 3D structural complexes, it can’t be used genome-wide, due to lacking RNA 3D structures. To take full advantage of RNA secondary structures revealed from high-throughput sequencing, we present PRIME-3D2D to predict binding sites of protein–RNA interaction. PRIME-3D2D is almost as good as PRIME at modeling protein–RNA complexes. PRIME-3D2D can be used to predict binding sites on PDB data (MCC = 0.75/0.70 for binding sites in protein/RNA) and transcription-wide (MCC = 0.285 for binding sites in RNA). Testing on PDB and yeast transcription-wide data show that PRIME-3D2D performs better than other binding sites predictor. So, PRIME-3D2D can be used to predict the binding sites both on PDB and genome-wide, and it’s freely available. |
format | Online Article Text |
id | pubmed-7366699 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-73666992020-07-21 PRIME-3D2D is a 3D2D model to predict binding sites of protein–RNA interaction Xie, Juan Zheng, Jinfang Hong, Xu Tong, Xiaoxue Liu, Shiyong Commun Biol Article Protein-RNA interaction participates in many biological processes. So, studying protein–RNA interaction can help us to understand the function of protein and RNA. Although the protein–RNA 3D3D model, like PRIME, was useful in building 3D structural complexes, it can’t be used genome-wide, due to lacking RNA 3D structures. To take full advantage of RNA secondary structures revealed from high-throughput sequencing, we present PRIME-3D2D to predict binding sites of protein–RNA interaction. PRIME-3D2D is almost as good as PRIME at modeling protein–RNA complexes. PRIME-3D2D can be used to predict binding sites on PDB data (MCC = 0.75/0.70 for binding sites in protein/RNA) and transcription-wide (MCC = 0.285 for binding sites in RNA). Testing on PDB and yeast transcription-wide data show that PRIME-3D2D performs better than other binding sites predictor. So, PRIME-3D2D can be used to predict the binding sites both on PDB and genome-wide, and it’s freely available. Nature Publishing Group UK 2020-07-16 /pmc/articles/PMC7366699/ /pubmed/32678300 http://dx.doi.org/10.1038/s42003-020-1114-y Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Xie, Juan Zheng, Jinfang Hong, Xu Tong, Xiaoxue Liu, Shiyong PRIME-3D2D is a 3D2D model to predict binding sites of protein–RNA interaction |
title | PRIME-3D2D is a 3D2D model to predict binding sites of protein–RNA interaction |
title_full | PRIME-3D2D is a 3D2D model to predict binding sites of protein–RNA interaction |
title_fullStr | PRIME-3D2D is a 3D2D model to predict binding sites of protein–RNA interaction |
title_full_unstemmed | PRIME-3D2D is a 3D2D model to predict binding sites of protein–RNA interaction |
title_short | PRIME-3D2D is a 3D2D model to predict binding sites of protein–RNA interaction |
title_sort | prime-3d2d is a 3d2d model to predict binding sites of protein–rna interaction |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7366699/ https://www.ncbi.nlm.nih.gov/pubmed/32678300 http://dx.doi.org/10.1038/s42003-020-1114-y |
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