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» Protein secondary structure prediction using neural networks
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BMCBI
2010
156views more  BMCBI 2010»
13 years 9 months ago
Protein complex prediction via verifying and reconstructing the topology of domain-domain interactions
Background: High-throughput methods for detecting protein-protein interactions enable us to obtain large interaction networks, and also allow us to computationally identify the as...
Yosuke Ozawa, Rintaro Saito, Shigeo Fujimori, Hisa...
JCC
2007
127views more  JCC 2007»
13 years 9 months ago
Prediction of GFP spectral properties using artificial neural network
Abstract: In this study, we applied artificial neural network, implementing the backpropagation algorithm, for the prediction of the excitation and emission maxima of green fluores...
Chanin Nantasenamat, Chartchalerm Isarankura-Na-Ay...
ICML
2005
IEEE
14 years 10 months ago
Predicting protein folds with structural repeats using a chain graph model
Protein fold recognition is a key step towards inferring the tertiary structures from amino-acid sequences. Complex folds such as those consisting of interacting structural repeat...
Yan Liu, Eric P. Xing, Jaime G. Carbonell
CSB
2005
IEEE
202views Bioinformatics» more  CSB 2005»
14 years 2 months ago
Head and Neck Cancer Metastasis Prediction via Artificial Neural Networks
Cancers in head and neck tends to spread to nearby lymph nodes. Lymph nodes trap the spreading tumor cells but then the tumor starts to grow in these nodes and then spread further...
Eveleen Darby, Tezeswari Nettimi, Shilpa Kodali, L...
KDD
2002
ACM
154views Data Mining» more  KDD 2002»
14 years 9 months ago
Mining Protein Contact Maps
The 3D conformation of a protein may be compactly represented in a symmetrical, square, boolean matrix of pairwise, inter-residue contacts, or "contact map". The contact...
Jingjing Hu, Xiaolan Shen, Yu Shao, Chris Bystroff...