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» Protein secondary structure prediction using neural networks
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ISMB
1996
13 years 10 months ago
Refining Neural Network Predictions for Helical Transmembrane Proteins by Dynamic Programming
For transmembrane proteins experimental determina-tion of three-dimensional structure is problematic. However, membrane proteins have important impact for molecular biology in gen...
Burkhard Rost, Rita Casadio, Piero Fariselli
BMCBI
2005
198views more  BMCBI 2005»
13 years 9 months ago
Clustering protein sequences with a novel metric transformed from sequence similarity scores and sequence alignments with neural
Background: The sequencing of the human genome has enabled us to access a comprehensive list of genes (both experimental and predicted) for further analysis. While a majority of t...
Qicheng Ma, Gung-Wei Chirn, Richard Cai, Joseph D....
BMCBI
2007
113views more  BMCBI 2007»
13 years 9 months ago
Learning biophysically-motivated parameters for alpha helix prediction
Background: Our goal is to develop a state-of-the-art protein secondary structure predictor, with an intuitive and biophysically-motivated energy model. We treat structure predict...
Blaise Gassend, Charles W. O'Donnell, William Thie...
BMCBI
2007
168views more  BMCBI 2007»
13 years 9 months ago
Benchmarking consensus model quality assessment for protein fold recognition
Background: Selecting the highest quality 3D model of a protein structure from a number of alternatives remains an important challenge in the field of structural bioinformatics. M...
Liam J. McGuffin
CIBCB
2006
IEEE
14 years 3 months ago
Prediction of the Number of Helices for the Twilight Zone Proteins
– Protein structure prediction is one of the core research areas in bioinformatics. This paper addresses the protein secondary structure prediction problem for the twilight zone ...
Kanaka Durga Kedarisetti, Ke Chen, Aashima Kapoor,...