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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...

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Autores principales: Chan, Tak-Ming, Leung, Kwong-Sak, Lee, Kin-Hong, Wong, Man-Hon, Lau, Terrence Chi-Kong, Tsui, Stephen Kwok-Wing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
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.
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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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