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Information theory in molecular biologyby: Christoph Adami
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AbstractThis article introduces the physics of information in the context ofmolecular biology and genomics. Entropy and information, the two centralconcepts of Shannon's theory of information and communication, are oftenconfused with each other but play transparent roles when applied to statisticalensembles (i.e., identically prepared sets) of symbolic sequences. Such anapproach can distinguish between entropy and information in genes, predict thesecondary structure of ribozymes, and detect the covariation between residuesin folded proteins. We also review applications to molecular sequence andstructure analysis, and introduce new tools in the characterization ofresistance mutations, and in drug design.
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