Protein Secondary Structure Prediction Using Genetic Neural Support Vector Machines

Support vector machines (SVM) have shown strong generalization ability in a number of application areas, including protein structure prediction. In this paper a new tertiary classifier is introduced that makes use of support vector machines as neurons in a neural network architecture. This network is optimized using genetic algorithms. The novel tertiary classifier is better than most available techniques.