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Fold recognition from amino acid sequences plays an important role in identifying protein structures and functions. The taxonomy-based method, which classifies a query protein into one of the known folds, has been shown very promising for protein fold recognition. However, extracting a set of highly discriminative features from amino acid sequences remains(More)
BACKGROUND Prediction of protein structural classes (alpha, beta, alpha + beta and alpha/beta) from amino acid sequences is of great importance, as it is beneficial to study protein function, regulation and interactions. Many methods have been developed for high-homology protein sequences, and the prediction accuracies can achieve up to 90%. However, for(More)
Chlorotoxin, one of the key toxins in scorpion Leiurus quinquestriatus venom, has been shown to bind specifically to glioma cell surface as a specific chloride channel blocker. In this study, a purified, recombinant chlorotoxin-like peptide from the scorpion Buthus martensii Karsch (named rBmK CTa) was characterized by in vivo and in vitro studies. The(More)
BACKGROUND G-protein-coupled receptors (GPCRs) play a key role in diverse physiological processes and are the targets of almost two-thirds of the marketed drugs. The 3 D structures of GPCRs are largely unavailable; however, a large number of GPCR primary sequences are known. To facilitate the identification and characterization of novel receptors, it is(More)
BACKGROUND Promoter region plays an important role in determining where the transcription of a particular gene should be initiated. Computational prediction of eukaryotic Pol II promoter sequences is one of the most significant problems in sequence analysis. Existing promoter prediction methods are still far from being satisfactory. RESULTS We attempt to(More)
The construction of consensus genetic maps is a very challenging problem in computational biology. Many computational approaches have been proposed on the basis of only the marker order relations provided by a given set of individual genetic maps. In this article, we propose a comparative approach to constructing consensus genetic maps for a genome, which(More)
The name of families, subfamilies, sub-subfamilies and subtypes in the GPCRDB database (http://www.gpcr.org/7tm/) and the corresponding prediction accuracies of PCA-GPCR. The code of Subfamily and Sub-subfamily No. also represents the classification of the GPCR proteins. For example, the No. 001-002 means the Subfamily " Peptide " is the subfamily of the(More)
Prediction of protein contact map is of great importance since it can facilitate and improve the prediction of protein 3D structure. However, the prediction accuracy is notoriously known to be rather low. In this paper, a consensus contact map prediction method called LRcon is developed, which combines the prediction results from several complementary(More)
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