Run UID_exampleR
Status: FINISHED
Your SpotOn run has successfully completed. The complete run can be downloaded as a gzipped tar file here.
Please cite the following paper in your work:
Melo et al. (2016)
A Machine Learning Approach for Hot-Spot Detection at Protein-Protein Interfaces.
Int. J. Mol. Sci. 17, 1215.

Moreira and Koukos et al. (2016)
SpotOn: A web server for prediction of protein-protein binding hot-spots.
Submitted
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NGL viewer
3D representation of the complex. The two monomers are highlighted in cyan and blue and represented as cartoon models. The interfacial residues are represented as sticks and are coloured according to whether they are HotSpots/NullSpots or not. The HotSpots are coloured orange and the NullSpots green.

Powered by the NGL viewer [1, 2].
Hot-Spot table
This table contains a list of the residues which have been classified as HotSpots by the algorithm.
Residue Index Residue Name Residue Chain
10 PHE A
12 LEU A
14 ILE A
20 PHE A
23 PHE A
30 LEU A
9 TYR C
10 PHE C
12 LEU C
14 ILE C
20 PHE C
23 PHE C
26 LEU C
30 LEU C
Sequence viewer
The AA residue sequence (in one letter code) is displayed here. The colouring is the same as the one used for the protein structure viewer above. HotSpots are in orange and NullSpots are in green.
Null-Spot table
This table contains a list of residues which have not been identified as HotSpots.
You can scroll in the table in order to see the rest of the results.
Residue Index Residue Name Residue Chain
7 GLY A
8 GLU A
9 TYR A
11 THR A
13 GLN A
15 ARG A
16 GLY A
17 ARG A
19 ARG A
22 MET A
24 ARG A
26 LEU A
27 ASN A
31 GLU A
34 ASP A
6 ASP C
7 GLY C
8 GLU C
11 THR C
13 GLN C
15 ARG C
16 GLY C
17 ARG C
19 ARG C
22 MET C
24 ARG C
27 ASN C
31 GLU C
34 ASP C