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» Protein secondary structure prediction using neural networks
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107
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IJCNN
2006
IEEE
15 years 6 months ago
An Integrated Soft Computing Approach for Predicting Biological Activity of Potential HIV-1 Protease Inhibitors
Abstract— Using a neural network-fuzzy logic-genetic algorithm approach we generate an optimal predictor for biological activities of HIV-1 protease potential inhibitory compound...
Razvan Andonie, Levente Fabry-Asztalos, Sarah Abdu...
COMPSAC
2004
IEEE
15 years 4 months ago
Protein Functional Motion Query and Visualization
Function is a dynamic property closely related to the conformational mechanisms of the protein structure in its physiological environment. Efficient methods and tools for predicti...
Xiong Liu, Hassan A. Karimi, Lee-Wei Yang, Ivet Ba...
100
Voted
BMCBI
2008
107views more  BMCBI 2008»
15 years 16 days ago
A machine learning approach to explore the spectra intensity pattern of peptides using tandem mass spectrometry data
Background: A better understanding of the mechanisms involved in gas-phase fragmentation of peptides is essential for the development of more reliable algorithms for high-throughp...
Cong Zhou, Lucas D. Bowler, Jianfeng Feng
GECCO
1999
Springer
133views Optimization» more  GECCO 1999»
15 years 4 months ago
Forecasting the MagnetoEncephaloGram (MEG) of Epileptic Patients Using Genetically Optimized Neural Networks
In this work MagnetoEncephaloGram (MEG) recordings of epileptic patients were analyzed using a hybrid neural networks training algorithm. This algorithm combines genetic algorithm...
Adam V. Adamopoulos, Efstratios F. Georgopoulos, S...
81
Voted
NN
2007
Springer
131views Neural Networks» more  NN 2007»
14 years 12 months ago
Decoupled echo state networks with lateral inhibition
Building on some prior work, in this paper we describe a novel structure termed the decoupled echo state network (DESN) involving the use of lateral inhibition. Two low-complexity...
Yanbo Xue, Le Yang, Simon Haykin