Biomedical Engineering Reference
In-Depth Information
The protein pages have a number of important design features.
■
Social tagging: at the top of every page, buttons that allow users to
'tag' and annotate targets of interest (discussed in detail below).
■
The InfoBox: as commonly used within Wikipedia pages, customised
to display key facts, including database identifi ers, synonyms, pathways
and Gene Ontology processes in which the protein participates.
■
Informative table of contents: the default MediaWiki table of contents
was replaced with a new component that combines an immediate,
high-level summary of critical information with hyperlinks to relevant
sections.
■
Textual overview: short, easily digestible summaries around the role
and function of this entity are provided. Some of this content is
obtained directly from Wikipedia, an excellent source thanks to the
Gene Wiki initiative [27]. For this, the system only presents the fi rst
one or two paragraphs initially; the section can be expanded to the full
article with a single click. This is complemented with textual summaries
from the National Center for Biotechnology Information's RefSeq [28]
database.
The rest of the page is made up of more detailed sections covering the
areas described in Table 17.1. For example, Figure 17.4 shows the
information we display in the competitor intelligence section and
demonstrates how a level of summarisation has been applied. Rather
than presenting all of the competitor data, we present some key facts
such as number of known small molecules, maximum clinical phase and
most common indications. Should the user be suffi ciently interested to
know more, many of the elements in the section are hyperlinked to a
more extensive target intelligence system [2], which allows them to
analyse all of the underlying competitor data.
One of the most powerful features of SMW is the ability to 'slice and
dice' content based on semantic properties, allowing developers (and
even technically savvy users) to create additional views of the information.
For example, each protein in the system has a semantic property that
represents its position within a global protein family taxonomy (based on
a medicinal chemistry view of protein function, see [29]). Figure 17.5
shows how this property can be exploited though an ASK query
to produce a view of proteins according to their family membership,
in this case the phosphodiesterase 4 family. The confi dential information
has been blocked out, Pfi zer users see a 'dashboard' for the entire set
of proteins and to what extent they have been investigated by the
Search WWH ::
Custom Search