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DMKD
2003
ACM
110views Data Mining» more  DMKD 2003»
13 years 10 months ago
Weave amino acid sequences for protein secondary structure prediction
Given a known protein sequence, predicting its secondary structure can help understand its three-dimensional (tertiary) structure, i.e., the folding. In this paper, we present an ...
Xiaochun Yang, Bin Wang
BMCBI
2008
137views more  BMCBI 2008»
13 years 5 months ago
A dynamic Bayesian network approach to protein secondary structure prediction
Background: Protein secondary structure prediction method based on probabilistic models such as hidden Markov model (HMM) appeals to many because it provides meaningful informatio...
Xin-Qiu Yao, Huaiqiu Zhu, Zhen-Su She
BMCBI
2006
159views more  BMCBI 2006»
13 years 5 months ago
Prediction of protein continuum secondary structure with probabilistic models based on NMR solved structures
Background: The structure of proteins may change as a result of the inherent flexibility of some protein regions. We develop and explore probabilistic machine learning methods for...
Mikael Bodén, Zheng Yuan, Timothy L. Bailey
BMCBI
2006
102views more  BMCBI 2006»
13 years 5 months ago
Protein secondary structure prediction for a single-sequence using hidden semi-Markov models
Background: The accuracy of protein secondary structure prediction has been improving steadily towards the 88% estimated theoretical limit. There are two types of prediction algor...
Zafer Aydin, Yucel Altunbasak, Mark Borodovsky
CEC
2005
IEEE
13 years 11 months ago
Evolving hidden Markov models for protein secondary structure prediction
New results are presented for the prediction of secondary structure information for protein sequences using Hidden Markov Models (HMMs) evolved using a Genetic Algorithm (GA). We a...
Kyoung-Jae Won, Thomas Hamelryck, Adam Prügel...