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Subtypes of associated protein–DNA (Transcription Factor-Transcription Factor Binding Site) patterns
In protein–DNA interactions, particularly transcription factor (TF) and transcription factor binding site (TFBS) bindings, associated residue variations form patterns denoted as subtypes. Subtypes may lead to changed binding preferences, distinguish conserved from flexible binding residues and revea...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3479201/ https://www.ncbi.nlm.nih.gov/pubmed/22904079 http://dx.doi.org/10.1093/nar/gks749 |
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author | Chan, Tak-Ming Leung, Kwong-Sak Lee, Kin-Hong Wong, Man-Hon Lau, Terrence Chi-Kong Tsui, Stephen Kwok-Wing |
author_facet | Chan, Tak-Ming Leung, Kwong-Sak Lee, Kin-Hong Wong, Man-Hon Lau, Terrence Chi-Kong Tsui, Stephen Kwok-Wing |
author_sort | Chan, Tak-Ming |
collection | PubMed |
description | In protein–DNA interactions, particularly transcription factor (TF) and transcription factor binding site (TFBS) bindings, associated residue variations form patterns denoted as subtypes. Subtypes may lead to changed binding preferences, distinguish conserved from flexible binding residues and reveal novel binding mechanisms. However, subtypes must be studied in the context of core bindings. While solving 3D structures would require huge experimental efforts, recent sequence-based associated TF-TFBS pattern discovery has shown to be promising, upon which a large-scale subtype study is possible and desirable. In this article, we investigate residue-varying subtypes based on associated TF-TFBS patterns. By re-categorizing the patterns with respect to varying TF amino acids, statistically significant (P values ≤ 0.005) subtypes leading to varying TFBS patterns are discovered without using TF family or domain annotations. Resultant subtypes have various biological meanings. The subtypes reflect familial and functional properties and exhibit changed binding preferences supported by 3D structures. Conserved residues critical for maintaining TF-TFBS bindings are revealed by analyzing the subtypes. In-depth analysis on the subtype pair PKVVIL-CACGTG versus PKVEIL-CAGCTG shows the V/E variation is indicative for distinguishing Myc from MRF families. Discovered from sequences only, the TF-TFBS subtypes are informative and promising for more biological findings, complementing and extending recent one-sided subtype and familial studies with comprehensive evidence. |
format | Online Article Text |
id | pubmed-3479201 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-34792012012-10-24 Subtypes of associated protein–DNA (Transcription Factor-Transcription Factor Binding Site) patterns Chan, Tak-Ming Leung, Kwong-Sak Lee, Kin-Hong Wong, Man-Hon Lau, Terrence Chi-Kong Tsui, Stephen Kwok-Wing Nucleic Acids Res Computational Biology In protein–DNA interactions, particularly transcription factor (TF) and transcription factor binding site (TFBS) bindings, associated residue variations form patterns denoted as subtypes. Subtypes may lead to changed binding preferences, distinguish conserved from flexible binding residues and reveal novel binding mechanisms. However, subtypes must be studied in the context of core bindings. While solving 3D structures would require huge experimental efforts, recent sequence-based associated TF-TFBS pattern discovery has shown to be promising, upon which a large-scale subtype study is possible and desirable. In this article, we investigate residue-varying subtypes based on associated TF-TFBS patterns. By re-categorizing the patterns with respect to varying TF amino acids, statistically significant (P values ≤ 0.005) subtypes leading to varying TFBS patterns are discovered without using TF family or domain annotations. Resultant subtypes have various biological meanings. The subtypes reflect familial and functional properties and exhibit changed binding preferences supported by 3D structures. Conserved residues critical for maintaining TF-TFBS bindings are revealed by analyzing the subtypes. In-depth analysis on the subtype pair PKVVIL-CACGTG versus PKVEIL-CAGCTG shows the V/E variation is indicative for distinguishing Myc from MRF families. Discovered from sequences only, the TF-TFBS subtypes are informative and promising for more biological findings, complementing and extending recent one-sided subtype and familial studies with comprehensive evidence. Oxford University Press 2012-10 2012-08-13 /pmc/articles/PMC3479201/ /pubmed/22904079 http://dx.doi.org/10.1093/nar/gks749 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Computational Biology Chan, Tak-Ming Leung, Kwong-Sak Lee, Kin-Hong Wong, Man-Hon Lau, Terrence Chi-Kong Tsui, Stephen Kwok-Wing Subtypes of associated protein–DNA (Transcription Factor-Transcription Factor Binding Site) patterns |
title | Subtypes of associated protein–DNA (Transcription Factor-Transcription Factor Binding Site) patterns |
title_full | Subtypes of associated protein–DNA (Transcription Factor-Transcription Factor Binding Site) patterns |
title_fullStr | Subtypes of associated protein–DNA (Transcription Factor-Transcription Factor Binding Site) patterns |
title_full_unstemmed | Subtypes of associated protein–DNA (Transcription Factor-Transcription Factor Binding Site) patterns |
title_short | Subtypes of associated protein–DNA (Transcription Factor-Transcription Factor Binding Site) patterns |
title_sort | subtypes of associated protein–dna (transcription factor-transcription factor binding site) patterns |
topic | Computational Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3479201/ https://www.ncbi.nlm.nih.gov/pubmed/22904079 http://dx.doi.org/10.1093/nar/gks749 |
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