@article {42822,
	title = {Systems view of the protein expression process},
	journal = {Systems and Synthetic Biology},
	volume = {5},
	year = {2011},
	month = {DEC},
	pages = {139{\textendash}150},
	abstract = {<p>Many biological processes are regulated by changing the concentration and activity of proteins. The presence of a protein at a given subcellular location at a given time with a certain conformation is the result of an apparently sequential process. The rate of protein formation is influenced by chromatin state, and the rates of transcription, translation, and degradation. There is an exquisite control system where each stage of the process is controlled both by seemingly unregulated proteins as well as through feedbacks mediated by RNA and protein products. Here we review the biological facts and mathematical models for each stage of the protein production process. We conclude that advances in experimental techniques leading to a detailed description of the process have not been matched by mathematical models that represent the details of the process and facilitate analysis. Such an exercise is the first step towards development of a framework for a systems biology analysis of the protein production process.</p>},
	doi = {10.1007/s11693-011-9088-1},
	author = {Gokhale, Sucheta A. and Nyayanit, Dimpal and Gadgil, Chetan J.}
}
@article { ISI:000305965100013,
	title = {Simple method for incorporating dynamic effects of intronic miRNA mediated regulation},
	journal = {Molecular Biosystems},
	volume = {8},
	number = {8},
	year = {2012},
	month = {APR},
	pages = {2145-2152},
	publisher = {ROYAL SOC CHEMISTRY},
	type = {Article},
	address = {THOMAS GRAHAM HOUSE, SCIENCE PARK, MILTON RD, CAMBRIDGE CB4 0WF, CAMBS, ENGLAND},
	abstract = {<p>The importance of microRNA (miRNA) in modulating gene expression at the post-transcriptional level is well known. Such regulation has been shown to influence the dynamics of several regulatory networks including the cell cycle. In this study we incorporated regulatory effects of intronic miRNA into an existing mathematical model of the cell cycle through the use of an existing {\textquoteleft}proxy{\textquoteright} protein - the host protein. It was observed that the incorporation of intronic miRNA mediated regulation improved the performance of the model resulting in a closer match to experimental results. To test the universality of this approach we compared the effects of intronic miRNA mediated regulation and host protein mediated regulation. Further, we compared miRNA mediated and protein mediated positive and negative feedback regulations of the target protein. We found that the target protein profiles were predominantly similar. These observations show the applicability of our method for incorporating intronic miRNA mediated dynamic effects in models for regulation of gene expression.</p>},
	issn = {1742-206X},
	doi = {10.1039/c2mb25046b},
	author = {Gokhale, Sucheta A. and Hariharan, Manoj and Brahmachari, Samir K. and Gadgil, Chetan J.}
}
