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» Mining Protein Sequences for Motifs
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BMCBI
2008
178views more  BMCBI 2008»
14 years 9 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
2008
128views more  BMCBI 2008»
14 years 9 months ago
Pairwise covariance adds little to secondary structure prediction but improves the prediction of non-canonical local structure
Background: Amino acid sequence probability distributions, or profiles, have been used successfully to predict secondary structure and local structure in proteins. Profile models ...
Christopher Bystroff, Bobbie-Jo M. Webb-Robertson
BMCBI
2007
147views more  BMCBI 2007»
14 years 9 months ago
Predicting combinatorial binding of transcription factors to regulatory elements in the human genome by association rule mining
Background: Cis-acting transcriptional regulatory elements in mammalian genomes typically contain specific combinations of binding sites for various transcription factors. Althoug...
Xochitl C. Morgan, Shulin Ni, Daniel P. Miranker, ...
BMCBI
2006
129views more  BMCBI 2006»
14 years 9 months ago
BIPAD: A web server for modeling bipartite sequence elements
Background: Many dimeric protein complexes bind cooperatively to families of bipartite nucleic acid sequence elements, which consist of pairs of conserved half-site sequences sepa...
Chengpeng Bi, Peter K. Rogan
IMSCCS
2006
IEEE
15 years 3 months ago
Identification of New Members of Hydrophobin Family Using Primary Structure Analysis
Background: Hydrophobins are fungal proteins that can turn into amphipathic membranes at hydrophilic/hydrophobic interfaces by self-assembly. The assemblages by Class I hydrophobi...
Kuan Yang, Youping Deng, Chaoyang Zhang, Mohamed O...