Learning to predict protein-protein interactions from protein sequences

  title={Learning to predict protein-protein interactions from protein sequences},
  author={Shawn M. Gomez and William Stafford Noble and Andrey Rzhetsky},
  volume={19 15},
In order to understand the molecular machinery of the cell, we need to know about the multitude of protein-protein interactions that allow the cell to function. High-throughput technologies provide some data about these interactions, but so far that data is fairly noisy. Therefore, computational techniques for predicting protein-protein interactions could be of significant value. One approach to predicting interactions in silico is to produce from first principles a detailed model of a… CONTINUE READING
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