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» Using context to improve protein domain identification
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BMCBI
2008
173views more  BMCBI 2008»
14 years 10 months ago
Improved machine learning method for analysis of gas phase chemistry of peptides
Background: Accurate peptide identification is important to high-throughput proteomics analyses that use mass spectrometry. Search programs compare fragmentation spectra (MS/MS) o...
Allison Gehrke, Shaojun Sun, Lukasz A. Kurgan, Nat...
BMCBI
2008
178views more  BMCBI 2008»
14 years 10 months ago
A discriminative method for protein remote homology detection and fold recognition combining Top-n-grams and latent semantic ana
Background: Protein remote homology detection and fold recognition are central problems in bioinformatics. Currently, discriminative methods based on support vector machine (SVM) ...
Bin Liu, Xiaolong Wang, Lei Lin, Qiwen Dong, Xuan ...
BMCBI
2007
147views more  BMCBI 2007»
14 years 10 months ago
Improved residue contact prediction using support vector machines and a large feature set
Background: Predicting protein residue-residue contacts is an important 2D prediction task. It is useful for ab initio structure prediction and understanding protein folding. In s...
Jianlin Cheng, Pierre Baldi
BMCBI
2007
89views more  BMCBI 2007»
14 years 10 months ago
Selective prediction of interaction sites in protein structures with THEMATICS
Background: Methods are now available for the prediction of interaction sites in protein 3D structures. While many of these methods report high success rates for site prediction, ...
Ying Wei, Jaeju Ko, Leonel F. Murga, Mary Jo Ondre...
BMCBI
2007
127views more  BMCBI 2007»
14 years 10 months ago
The EIPeptiDi tool: enhancing peptide discovery in ICAT-based LC MS/MS experiments
Background: Isotope-coded affinity tags (ICAT) is a method for quantitative proteomics based on differential isotopic labeling, sample digestion and mass spectrometry (MS). The me...
Mario Cannataro, Giovanni Cuda, Marco Gaspari, Ser...