Title :
Protein secondary structure prediction with a hybrid RNN/HMM system
Author :
Chen, Jinmiao ; Chaudhari, Narendra S.
Author_Institution :
Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore
fDate :
31 July-4 Aug. 2005
Abstract :
In this paper, we propose a hybrid RNN/HMM system for protein secondary structure prediction, where each secondary structure segment is approximated by a second-order recurrent neural network embedded in the state of a segmental hidden Markov model. We evaluate the hybrid system on the RS126 and CB396 sets and obtain promising results.
Keywords :
biology computing; hidden Markov models; pattern classification; proteins; recurrent neural nets; CB396; HMM; RNN; RS126; hidden Markov model; protein secondary structure; recurrent neural network; secondary structure segment; Amino acids; Biology computing; Computational biology; Computer networks; Electronic mail; Embedded computing; Hidden Markov models; Protein engineering; Recurrent neural networks; 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.2005.1555888
