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- W2076817084 abstract "Mol Syst Biol. 4: 226Although the instances where substantive theory provides more than a metaphor for biology are rare, one fruitful approach has been computing physical limits on biological processes. In the best of cases, such as Berg and Purcell (1977), a simplified model of bacterial chemotaxis illuminated the problems bacteria have solved to operate at the limits imposed by molecular noise. In a recent article published in the Proceedings of the National Academy of Sciences , Tkacik et al (2008) borrow an approach from computational neuroscience (Laughlin, 1981) to show that the performance of the first step in the gene network that defines anterior–posterior (AP) position in the fly approaches the limits set by information theory. The result is appealing because it hints that aspects of the tangled networks that govern animal development may be quantitatively understood without having to consider the details of all the underlying interactions.Position in an embryo is defined generally by proteins called morphogens, and arguably the best understood of these is the transcription factor Bicoid (Bcd) that regulates the expression of gap genes such as hunchback ( hb ). Bicoid is expressed from a maternal anterior‐localized message and assumes an exponential profile. The question is, therefore, does this one protein define anterior position, and if so how accurately, or are other sources of information used (e.g., distance from the posterior end of the embryo)? The physical mechanism through which a single cell, an appendage, or …" @default.
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- W2076817084 date "2008-01-01" @default.
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- W2076817084 title "Developmental regulatory bits" @default.
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- W2076817084 doi "https://doi.org/10.1038/msb.2008.64" @default.
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