Combinatorial tools for the analysis of transcriptional regulation.
In this paper, we discuss virtual experiments for the study of major regulatory processes such as translation, signalization or transcription pathways. An essential part of these processes is the formation of protein clusters held together by a small number of binding domains that can be shared by many different proteins. Analysis of these clusters is complicated by the vast number of different arrangements of proteins that can trigger a specific reaction. We propose combinatorial tools that can help predict the effects on the rate of transcription of either changes in transcriptional factors concentration, or due to the introduction of chimeras combining domains not usually present on a protein.
Bergeron
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LACIM, Université du Québec à Montréal, Canada. anne@lacim.uqam.ca
Gaul
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E
Bergeron
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D
D003198:Computer Simulation; D003205:Computing Methodologies; D004247:DNA / Q000737:chemistry / Q000235:genetics; D016208:Databases, Factual; D005786:Gene Expression Regulation; D005796:Genes; D015497:HIV-1 / Q000235:genetics; D006801:Humans; D008957:Models, Genetic; D008958:Models, Molecular; D011336:Probability; D011401:Promoter Regions, Genetic; D014176:Protein Biosynthesis; D011506:Proteins / Q000737:chemistry; D012512:Sarcoma, Ewing / Q000235:genetics; D015398:Signal Transduction; D014157:Transcription Factors / Q000737:chemistry / Q000378:metabolism; D014158:Transcription, Genetic
D011506:Proteins; D014157:Transcription Factors; D004247:DNA