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13 The diverse lengths of the identified miRNAs possibly suggest unique roles for modulation of miRNA biogenesis or gene expression.
In this study, we present a novel method APCpred for linear B-cell epitope prediction, which was derived from the combination of amino acid anchoring pair composition (APC) and Support Vector Machine (SVMs) methods using diverse lengths of peptides (12 to 20-mers).
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The diverse length of this exon could facilitate the gaining of new or cooperative functional motifs and domains, which may account for the functional divergence between MYB homologs in plants.
The structural analyses showed that all of the CaHsf genes contained only one intron (Additional file 2: Fig. S2B), which was presumed to be a conservative evolutionary pattern, while the diverse length of the inserted introns might influence the functionally divergences of the CaHsf genes.
These effects were attributed to direct degradation of tau by the aminopeptidase activity of PSA (31); however, such an exoproteolytic mechanism would be quite slow and inefficient for digesting a protein as long as tau and would generate heterogenous variants of tau of diverse lengths.
Here, we trained a series of SVM classifiers on sequence windows of diverse lengths and compositions (P4P1', P4P2, P4P2, P4P4', P6P6', P8P8', P10P10' and P14P10') using simple binary encoding and BFE schemes (details in Materials and Methods).
Related protein domains of a superfamily can be specified by proteins of diverse lengths.
We developed a SVM prediction model employing Bayes Feature Extraction to predict linear B-cell epitopes of diverse lengths.
We trained a series of SVM classifiers employing Bayes Feature Extraction to predict cleavage sites using sequence windows of diverse lengths and compositions.
We trained a series of support vector machines (SVM) classifiers employing Bayes Feature Extraction to predict cleavage sites using sequence windows of diverse lengths and compositions.
We developed a support vector machines (SVM) prediction model employing Bayes Feature Extraction to predict linear B-cell epitopes of diverse lengths (12- to 20-mers).
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