Protein Interactions
University of California, Los Angeles · Howard Hughes Medical Institute
Abstract
High throughput methods for detecting protein interactions require assessment of their accuracy. We present two forms of computational assessment. The first method is the expression profile reliability (EPR) index. The EPR index estimates the biologically relevant fraction of protein interactions detected in a high throughput screen. It does so by comparing the RNA expression profiles for the proteins whose interactions are found in the screen with expression profiles for known interacting and non-interacting pairs of proteins. The second form of assessment is the paralogous verification method (PVM). This method judges an interaction likely if the putatively interacting pair has paralogs that also interact.…
Citation impact
- FWCI
- 14.84
- Percentile
- 100%
- References
- 38
Authors
4- CMCharlotte M. Deane
University of California, Los Angeles, Howard Hughes Medical Institute
- ŁSŁukasz Salwiński
University of California, Los Angeles, Howard Hughes Medical Institute
- IXIoannis Xénarios
University of California, Los Angeles, Howard Hughes Medical Institute
- DEDavid EisenbergCorresponding
Howard Hughes Medical Institute, University of California, Los Angeles
Topics & keywords
- Protein–protein interaction
- Computer science
- Pairwise comparison
- Electron paramagnetic resonance
- Index (typography)
- Computational biology
- Reliability (semiconductor)
- Set (abstract data type)