FREE FOR ACADEMIC RESEARCH
With computation power donated from over 20,000 volunteer CPUs, FALCON@home shows a throughput as high as processing of over 1,000 proteins per day.
FALCON@home aligns query proteins with conserved regions only rather than the full-length template directly. This helps avoid the vague alignments rooted in highly-variable regions, thus improving remote homologue identification.
FALCON@home is easy to use. The identified homology templates are sorted according to the alignment quality, and the predicted structures are intuitively visualized using JMOL.
Accurate remote homologue identificaiton
Processing over 1,000 proteins per day
Suitful to proteome-wide structure prediction
The design of FALCON@home is based on the observation that a structural template, especially for remote homologous proteins, consists of conserved regions interweaved with highly-variable regions. The highly-variable regions lead to vague alignments in threading approaches.
FALCON@home first extracts conserved regions from each template and then aligns a query proteins with conserved regions only rather than the full-length template directly.
This helps avoid the vague alignments rooted in highly-variable regions, improving remote homologue identification.