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PMID: 12712249 Published · ppublish English Journal Article Review

In silico identification of metazoan transcriptional regulatory regions.

Die Naturwissenschaften ·Vol. 90 ·No. 4 ·2003-04-00 ·Pages 156-66

Wasserman WW, Krivan W

Abstract

Transcriptional regulation remains one of the most intriguing and challenging subjects in biomedical research. The catalysis of transcription is a clear example of multiple proteins interacting to orchestrate a biological process, offering a starting point for the study of biological systems. Transcriptional regulation is viewed as one of the principal mechanisms governing the spatial and temporal distribution of gene expression, thus the field of transcriptional regulation provides a natural stage for quantitative studies of multiple gene systems. Building on the body of focused experimental studies and new genomics-driven data, computational biologists are making significant strides in accelerating our understanding of the transcriptional regulatory process in metazoan cells. Recent advances in the computational analysis of the interplay between factors have been fueled by well-defined computational methods for the modeling of the binding of individual transcription factors. We present here an overview of advances in the analysis of regulatory systems and the fundamental methods that underlie the recent developments.

MeSH Terms
Animals Base Sequence Binding Sites Chromatin/genetics Gene Expression Regulation Humans Terminology as Topic Transcription Factors/metabolism Transcription, Genetic
Chemicals
Chromatin Transcription Factors
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Wasserman Wyeth W
Centre for Molecular Medicine and Therapeutics, University of British Columbia, 950 West 28th Avenue, Vancouver, BC, V5Z 4H4, Canada. [email protected]
Krivan William
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Article Info
Journal
Die Naturwissenschaften
Abbr.
Naturwissenschaften
ISSN
0028-1042
DOI
10.1007/s00114-003-0409-4
Email
[email protected]
Published
2003-04-00
Epub
2003-00-27
Pages
156-66
Language
English
Region
Germany
NLM ID
0400767
Subset
IM
External Links
PubMed source DOI: 10.1007/s00114-003-0409-4 View journal details
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