Predicting co-complexed protein pairs using genomic and proteomic data integration |
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Authors: | Lan?V?Zhang Sharyl?L?Wong Oliver?D?King Email author" target="_blank">Frederick?P?RothEmail author |
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Institution: | (1) Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA |
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Abstract: | Background Identifying all protein-protein interactions in an organism is a major objective of proteomics. A related goal is to know
which protein pairs are present in the same protein complex. High-throughput methods such as yeast two-hybrid (Y2H) and affinity
purification coupled with mass spectrometry (APMS) have been used to detect interacting proteins on a genomic scale. However,
both Y2H and APMS methods have substantial false-positive rates. Aside from high-throughput interaction screens, other gene-
or protein-pair characteristics may also be informative of physical interaction. Therefore it is desirable to integrate multiple
datasets and utilize their different predictive value for more accurate prediction of co-complexed relationship. |
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