Predicting Secondary Structure
The Secondary Structure Problem:
Given a target protein whose primary structure is known and a set of proteins with known primary and secondary structures, how can we predict the target protein's secondary structure?
After conducting a survey of data mining approaches to this problem, we decided to focus our work on three different algorithms for secondary structure prediction: k-nearest neighbors, neural networks, and hidden Markov models.