Comparative assessment of large-scale data sets of protein–protein interactions
Comprehensive protein–protein interaction maps promise to reveal many aspects of the
complex regulatory network underlying cellular function. Recently, large-scale approaches
have predicted many new protein interactions in yeast. To measure their accuracy and
potential as well as to identify biases, strengths and weaknesses, we compare the methods
with each other and with a reference set of previously reported protein interactions.
complex regulatory network underlying cellular function. Recently, large-scale approaches
have predicted many new protein interactions in yeast. To measure their accuracy and
potential as well as to identify biases, strengths and weaknesses, we compare the methods
with each other and with a reference set of previously reported protein interactions.
Abstract
Comprehensive protein–protein interaction maps promise to reveal many aspects of the complex regulatory network underlying cellular function. Recently, large-scale approaches have predicted many new protein interactions in yeast. To measure their accuracy and potential as well as to identify biases, strengths and weaknesses, we compare the methods with each other and with a reference set of previously reported protein interactions.
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