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Protein translation is a vital cellular process for any living organism. The availability of interaction databases provides an opportunity for researchers to exploit the immense amount of data in silico such as studying biological networks. There has been an extensive effort using computational methods in deciphering the transcriptional regulatory networks. However, research on translation regulatory...
The yeast (Saccharomyces cerevisiae) cell cycle has been studied for years, providing us a good knowledge about this cellular process. However, behind this process, there are still complex interactions between genes and proteins that are not fully understood. In this paper, we present a yeast cell cycle modeled by a context-sensitive probabilistic Boolean network (cPBN). The importance of understanding...
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