| ELM is a resource for predicting
functional
sites in eukaryotic proteins. Putative
functional sites are identified by patterns
(regular
expressions). To improve the predictive
power, context-based
rules and logical filters are applied
to reduce the amount of false positives.
Known ELM
instances and predictions in sequences
similar to ELM
instance sequences, where the motif
is positionally conserved, are identified
and displayed (see ELM
instance mapper).
Users are encouraged to supply context
information in order to obtain relevant
predictions.
The current version of the ELM server provides
basic functionality including filtering
by taxonomy, cell compartment, globular
domain clash (using the SMART/Pfam databases) and
structure (BETA version).
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