|Your gi number 307567979 matches chain R of this structure with 0.82 identity.|
|To run a trace on the entire sequence for this gi, click here|
Evolutionary Trace results for 1fjg are available in two ways:
View Trace of
All Data Files
All results with PyMol:
The ET Viewer runs real-value ET or integer ET and displays results. Its ET Wizard takes a PDB identifier, or file, for input, and it outputs ranks of evolutionary importance for every sequence position in the protein. All trace parameters may be adjusted: custom alignments and phylogenetic trees may be used. The ET Viewer then displays a color map of the structure showing which residues are ranked among the top nth percentile, where n is adjustable, and whether they cluster (a z-score indicates whether these top-ranked residues cluster in a statistically significant manner). A multiple sequence alignment viewer and phylogenetic tree viewer display the underlying data.
The ET report_maker runs real-value ET with hard-wired parameters. The input is either a PDB identifier or a UniProt accession number and it returns a PDF report, plus all data files, including the .etvx file read by the ET Viewer . A feature of the ET_report_maker is that it tries to pool information about protein sequence, structure, and elementary annotations to better interpret the ET ranks of importance of individual residues. It also suggests where one might target mutations, and which subsitutions to make in order to selectively knock out individual functional sites.
Both analyses are based on slightly different alignments, and can be viewed as complementary. These predictions can be useful for rational protein re-design and engineering since they enable researchers to efficiently target mutations to the most relevant parts of a protein. In turn this can selectively block, separate, rewire, or mimic functions. ET-based functional annotations may also be useful to suggest protein function (see the ET Annotation Server). ET rank essentially captures the extent of evolutionary pressure at a given sequence position. It is obtained by correlating the sequence variations in an alignment of a protein family with its evolutionary divergences. Top-ranked residues are associated with variations that correlate with large divergences near the root of the evolutionary tree, and presumably linked to significant functional changes. Poorly-ranked residues in contrast are associated with variations near the leaves of the tree, presumably linked to modest functional differences, if any at all.
This web page gives access to additional pre-computed traces.
E-mail suggestions, bugs and inquiries to: firstname.lastname@example.org
The Evolutionary Trace is freely available for non-profit use.
Contact Lisa Beveridge (email@example.com, 713-798-6821 )
to request a commercial license from Baylor College of Medicine.