An increasing amount of evidence from experimental and computational bioinformatic
analysis suggests that there are many domains in DNA sequences that remain evolutionarily
conserved. In some cases, these conserved patterns in a collection of unaligned DNA
and protein sequences present the same functional and regulatory properties and are
significant for the molecular role of these sequences. Discriminative motif finding
algorithms aim to increase the sensitivity and selectivity of conserved motif discovery
by utilizing a specific set of DNA and protein sequences, and searching for binding
sites and homolog repeats among the sets of the selected sequences. In the present
study we introduce a combined bioinformatic software-based discriminative methodology
to detect short, highly and most conserved motifs between the DNA sequences within
the proteins Slit-2 and Spondin-1 and their receptor Robo-1 and then, on finding out
more motif conserved features about them including their physical regulatory properties,
as well as their function as therapeutic adjuvants for the enhancement of host tolerance
to aggressive chemoradiotherapy for eradicating metastatic cancers.
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© 2014 Published by Elsevier Inc.
