Quantitative prediction of NF-kappa B DNA-protein interactions.

We describe a general method based on principal coordinates analysis to predict the effects of single-nucleotide polymorphisms within regulatory sequences on DNA-protein interactions. We use binding data for the transcription factor NF-kappaB as a test system. The method incorporates the effects of...

Description complète

Détails bibliographiques
Auteurs principaux: Udalova, I, Mott, R, Field, D, Kwiatkowski, D
Format: Journal article
Langue:English
Publié: 2002
_version_ 1826261112788615168
author Udalova, I
Mott, R
Field, D
Kwiatkowski, D
author_facet Udalova, I
Mott, R
Field, D
Kwiatkowski, D
author_sort Udalova, I
collection OXFORD
description We describe a general method based on principal coordinates analysis to predict the effects of single-nucleotide polymorphisms within regulatory sequences on DNA-protein interactions. We use binding data for the transcription factor NF-kappaB as a test system. The method incorporates the effects of interactions between base pair positions in the binding site, and we demonstrate that such interactions are present for NF-kappaB. Prediction accuracy is higher than with profile models, confirmed by crossvalidation and by the experimental verification of our predictions for additional sequences. The binding affinities of all potential NF-kappaB sites on human chromosome 22, together with the effects of known single-nucleotide polymorphisms, are calculated to determine likely functional variants. We propose that this approach may be valuable, either on its own or in combination with other methods, when standard profile models are disadvantaged by complex internucleotide interactions.
first_indexed 2024-03-06T19:16:28Z
format Journal article
id oxford-uuid:188e652d-6b57-4d7c-a88f-5a5ca70d090c
institution University of Oxford
language English
last_indexed 2024-03-06T19:16:28Z
publishDate 2002
record_format dspace
spelling oxford-uuid:188e652d-6b57-4d7c-a88f-5a5ca70d090c2022-03-26T10:43:53ZQuantitative prediction of NF-kappa B DNA-protein interactions.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:188e652d-6b57-4d7c-a88f-5a5ca70d090cEnglishSymplectic Elements at Oxford2002Udalova, IMott, RField, DKwiatkowski, DWe describe a general method based on principal coordinates analysis to predict the effects of single-nucleotide polymorphisms within regulatory sequences on DNA-protein interactions. We use binding data for the transcription factor NF-kappaB as a test system. The method incorporates the effects of interactions between base pair positions in the binding site, and we demonstrate that such interactions are present for NF-kappaB. Prediction accuracy is higher than with profile models, confirmed by crossvalidation and by the experimental verification of our predictions for additional sequences. The binding affinities of all potential NF-kappaB sites on human chromosome 22, together with the effects of known single-nucleotide polymorphisms, are calculated to determine likely functional variants. We propose that this approach may be valuable, either on its own or in combination with other methods, when standard profile models are disadvantaged by complex internucleotide interactions.
spellingShingle Udalova, I
Mott, R
Field, D
Kwiatkowski, D
Quantitative prediction of NF-kappa B DNA-protein interactions.
title Quantitative prediction of NF-kappa B DNA-protein interactions.
title_full Quantitative prediction of NF-kappa B DNA-protein interactions.
title_fullStr Quantitative prediction of NF-kappa B DNA-protein interactions.
title_full_unstemmed Quantitative prediction of NF-kappa B DNA-protein interactions.
title_short Quantitative prediction of NF-kappa B DNA-protein interactions.
title_sort quantitative prediction of nf kappa b dna protein interactions
work_keys_str_mv AT udalovai quantitativepredictionofnfkappabdnaproteininteractions
AT mottr quantitativepredictionofnfkappabdnaproteininteractions
AT fieldd quantitativepredictionofnfkappabdnaproteininteractions
AT kwiatkowskid quantitativepredictionofnfkappabdnaproteininteractions