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dc.contributor.authorQin, Hen_US
dc.contributor.authorLu, HHSen_US
dc.contributor.authorWu, WBen_US
dc.contributor.authorLi, WHen_US
dc.date.accessioned2014-12-08T15:40:11Z-
dc.date.available2014-12-08T15:40:11Z-
dc.date.issued2003-10-28en_US
dc.identifier.issn0027-8424en_US
dc.identifier.urihttp://dx.doi.org/10.1073/pnas.2235584100en_US
dc.identifier.urihttp://hdl.handle.net/11536/27447-
dc.description.abstractTo study the evolution of the yeast protein interaction network, we first classified yeast proteins by their evolutionary histories into isotemporal categories, then analyzed the interaction tendencies within and between the categories, and finally reconstructed the main growth path. We found that two proteins tend to interact with each other if they are in the same or similar categories, but tended to avoid each other otherwise, and that network evolution mirrors the universal tree of life. These observations suggest synergistic selection during network evolution and provide insights into the hierarchical modularity of cellular networks.en_US
dc.language.isoen_USen_US
dc.titleEvolution of the yeast protein interaction networken_US
dc.typeArticleen_US
dc.identifier.doi10.1073/pnas.2235584100en_US
dc.identifier.journalPROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICAen_US
dc.citation.volume100en_US
dc.citation.issue22en_US
dc.citation.spage12820en_US
dc.citation.epage12824en_US
dc.contributor.department統計學研究所zh_TW
dc.contributor.departmentInstitute of Statisticsen_US
dc.identifier.wosnumberWOS:000186301100057-
dc.citation.woscount49-
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