Prediction of Contact Maps Using Modified Transiently Chaotic Neural Network

Autor:	Guixia Liu, Wengang Zhou, Chunguang Zhou, Yuanxian Zhu, Rongxing Wang
Rok vydání:	2006
Předmět:	animal structures Artificial neural network Computer science business.industry Chaotic neural network Protein folding Artificial intelligence Biological system business
Zdroj:	Advances in Neural Networks-ISNN 2006 ISBN: 9783540344827 ISNN (2)
DOI:	10.1007/11760191_102
Popis:	Contact maps are considered one of the most useful strategic steps in protein folding recognition. And there are a variety of measures of residues contact used in the literature. In this paper, we address our question on using a transiently chaotic neural network to predict the contact maps and whether it is reasonable. Our results show that it is more successful that we predict proteins contact maps based on modified transiently chaotic neural network.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2563c10e4a2ab66dea502264bbfe92d1 https://doi.org/10.1007/11760191_102 Zobrazit plný text záznamu