Affiliation:
1. Laboratory of Biosystem Dynamics, Computational Biology Research Group, Department of Signal Processing, Tampere University of Technology, P.O. box 553, 33101 Tampere, Finland.
Abstract
Dennis Salahub has contributed to several scientific areas. Likely, one of the lesser known contributions is the one on the study of the kinetics of gene expression in prokaryotes, which resulted in a delayed stochastic model of transcription and translation dynamics in bacteria. The model has become the basis for modeling stochastic genetic circuits and has provided a framework for interpreting recent measurements of transcripts production dynamics in live cells, one event at a time. Here, we review the contributions by Salahub and colleagues to the modeling strategies of gene expression as a multi-delayed stochastic process. Next, we describe recent findings, which build upon this work and provide experimental validation of the models. Finally, we discuss potential future developments in this field of research.
Publisher
Canadian Science Publishing
Subject
Organic Chemistry,General Chemistry,Catalysis
Reference50 articles.
1. Salahub, D.; Goursot, A.; Weber, J.; Köster, A.; Vela, A. InTheory and Applications of Computational Chemistry: The First 40 Years. A Volume of Technical and Historical Perspectives; Dykstra, C.; Frenking, G.; Kim, K.; Scuseria, G. Eds.; Elsevier. “Applied Density Functional Theory and the deMon Codes: 1964–2004”,2005.
2. St-Amant, A.Ph.D. Thesis, Université de Montréal,1992.
3. Studying genetic regulatory networks at the molecular level: Delayed reaction stochastic models
4. Validation of an algorithm for delay stochastic simulation of transcription and translation in prokaryotic gene expression
5. Probing Gene Expression in Live Cells, One Protein Molecule at a Time
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