標題: Evolution of the yeast protein interaction network
作者: Qin, H
Lu, HHS
Wu, WB
Li, WH
統計學研究所
Institute of Statistics
公開日期: 28-Oct-2003
摘要: To 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.
URI: http://dx.doi.org/10.1073/pnas.2235584100
http://hdl.handle.net/11536/27447
ISSN: 0027-8424
DOI: 10.1073/pnas.2235584100
期刊: PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Volume: 100
Issue: 22
起始頁: 12820
結束頁: 12824
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