Title :
Protein secondary structure prediction using machine learning
Author :
Zhang, BaiFang ; Chen, Zhihang ; Murphey, Yi Lu
Author_Institution :
Dept. of Electr. & Comput. Eng., Michigan Univ., Dearborn, MI, USA
fDate :
31 July-4 Aug. 2005
Abstract :
This paper presents an intelligent system for protein secondary structure prediction. The system consists of three pairwisely trained neural networks and a Bayesian inference function applied to the neural network outputs for accurate prediction. We tested our system on two well-known protein data set drawn from PDB, our system showed top performances on both data sets.
Keywords :
belief networks; biology computing; learning (artificial intelligence); neural nets; proteins; Bayesian inference; intelligent system; machine learning; protein data set; protein secondary structure prediction; trained neural networks; Amino acids; Bayesian methods; Bioinformatics; Intelligent structures; Intelligent systems; Learning systems; Machine learning; Neural networks; Protein engineering; Sequences;
Conference_Titel :
Neural Networks, 2005. IJCNN '05. Proceedings. 2005 IEEE International Joint Conference on
Print_ISBN :
0-7803-9048-2
DOI :
10.1109/IJCNN.2005.1555887
