Interactome mapping, the systematic identification of protein interactions within an organism, promises to facillitate systems-level studies of biological processes. Using in vitro technologies that measure specific protein interactions, static maps are being generated that include many of the protein networks that occur in vivo. Most of the binary protein interaction data currently available was generated by large-scale yeast two-hybrid screens. Recent efforts to map interactions in model organisms and in humans illustrate the promise and some of the limitations of the two-hybrid approach. Although these maps are incomplete and include false positives, they are proving useful as a framework around which to elaborate and model the in vivo interactome.
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Virginia Commonwealth Univ, Ctr Study Biol Complex, Richmond, VA 23284 USAVirginia Commonwealth Univ, Ctr Study Biol Complex, Richmond, VA 23284 USA
Caufield, J. H.
Sakhawalkar, Neha
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Virginia Commonwealth Univ, Ctr Study Biol Complex, Richmond, VA 23284 USAVirginia Commonwealth Univ, Ctr Study Biol Complex, Richmond, VA 23284 USA
Sakhawalkar, Neha
Uetz, Peter
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Virginia Commonwealth Univ, Ctr Study Biol Complex, Richmond, VA 23284 USAVirginia Commonwealth Univ, Ctr Study Biol Complex, Richmond, VA 23284 USA
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Pusan Natl Univ, Dept Microbiol, Pusan 609735, South KoreaPusan Natl Univ, Dept Microbiol, Pusan 609735, South Korea
Bang, Bongjun
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Park, Jungwook
Jeon, Jong-Seong
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Kyung Hee Univ, Grad Sch Biotechnol, Yongin 446701, South Korea
Kyung Hee Univ, Crop Biotech Inst, Yongin 446701, South KoreaPusan Natl Univ, Dept Microbiol, Pusan 609735, South Korea