Sentence examples for by computational predictions of from inspiring English sources

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These issues underlie challenges faced by computational predictions of carbohydrate epitopes.

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Genome sequences are annotated by computational prediction of coding sequences, followed by similarity searches such as BLAST, which provide a layer of possible functional information.

This set of empirical evidences was augmented by n = 1355 genes obtained by computational prediction on the basis of the output of TargetScan [ 20] (Additional file 1).

Identification of the splicing regulatory elements (SRE) by computational predictions is not accurate because of the degeneracy of these motifs [ 11, 14, 19, 20], supporting the importance of RNA analysis to demonstrate the deleteriousness of a particular DNA change.

Because glycines destabilize helical structure, GG insertions are expected to disrupt helical propagation (O'Neil and DeGrado, 1990; Blaber et al., 1993) as supported by the computational predictions of AH and CH helical content.

In rice, many annotated miRNAs have been identified by computational predictions, based on the conservation of sequences with Arabidopsis miRNAs [31].

Only experimental characterization, possibly guided by computational predictions, will allow a better characterization of the Mimivirus and other genomes.

The identification of B and T cell epitopes on the PAL protein was performed by computational predictions based on the antigenicity and hydrophilicity of proteins, as well as by experimental epitope mapping using a PepSpots™ peptide array (Jerini AG).

Spectroscopic techniques, supplemented by computational predictions, are used to interrogate the chemistry of the attachment and to confirm covalent binding, rather than attachment through self-assembly or weak van der Waals bonding.

By computational prediction, 83% of the target promoters contained SMAD4 consensus sequences, a significant enrichment compared to a random set of sequences.

Lineage-specific regulatory networks were assembled by integrating factor co-expression and computational predictions of TF binding based on sequence similarity.

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