Contrasts are effective conceptual vehicles for learning processes
such as correcting, highlighting,
contrasting, and grouping central concepts. Thus, they are useful for
exploring the unknown. They can provide much invaluable insights and
explanations about the observed phenomena. For example, contrasts
between proteins in terms of their biological interactions can reveal
what similarities, divergences, and relations there are of the proteins,
leading to additional useful insights about the underlying functional
nature of the proteins.
A protein-protein contrast is a contrast between two
proteins A and B, called as "focused proteins", which indicates
that A but not B is involved in a
biological property C, called as "presupposed property", or vice versa.
Contrast information is often encoded
by contrastive negation patterns such as "A but not B" in the
biomedical literature. Such contrast
not only explicitly describes a difference between focused
proteins in terms of its presupposed property,
but also implicitly indicates that the focused proteins are semantically similar.
This combination of difference and similarity between proteins
is useful for augmenting proteomics databases and also for discovering novel
BioContrasts Database is a database with protein-protein contrastive information.
The database currently contains 41,471 protein-protein contrasts, which
are automatically extracted from
Proteins in this database are cross-linked to
Swiss-Prot for the purpose of
effectively enhancing biomedical resources such as
Gene Ontology. With the web
interface provided in this homepage,
users can search for contrastive information of proteins of interest with their Swiss-Prot IDs or
their names. Users also can attempt knowledge discovery with protein-protein
contrasts through several templates of user interface.