{'fraction_non_alphanumeric': 0.011904761904761904, 'fraction_numerical': 0.0, 'mean_word_length': 5.469230769230769, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
The Computational Versatility of Proteomic Signaling Networks

Almost all proteomic signaling networks in prokaryotes and eukaryotes are based on the simple phosphorylation/dephosporylation cycle; from this simple unit it is possible to construct a huge variety of control and computational circuits, both analog and digital. With the characterization of many signaling networks, researchers are turning to address the question of how a particular physiological response can be understood in terms of the proteins that make up the network; this is one of the central questions in "Systems Biology". In this article I wish to summarize the great versatility of the basic protein cycle as a means to construct complex functional behaviors including the central role that feedback plays in determining the properties of protein based networks.