Structure-based |
DomainParser |
Use flow network represent protein structure, and identify domain based on maximum-flow/minimum-cut theorem. |
2000 |
http://compbio.ornl.gov/structure/domainparser/ |
[49] |
PDP |
Identify the dividing site that makes the contact density of the two parts lower than a threshold as the domain boundary. |
2003 |
http://123d.ncifcrf.gov/ |
[50] |
DIAL |
Identify the domain by clustering substructures on the basis of their spatial distances. |
2005 |
http://www.ncbs.res.in/~faculty/mini/DIAL/home.html |
[48] |
CATHEDRAL |
Identifiy the domain by comparing target structure with structure templates in CATH. |
2007 |
http://cathwww.biochem.ucl.ac.uk/cgi-bin/cath/CathedralServer.pl |
[46] |
DDOMAIN |
Identify the dividing site that makes the distance between the two parts exceed the threshold as the domain boundary. |
2007 |
http://sparks.informatics.iupui.edu |
[51] |
DHcL |
Identify the domain by calculating the van der Waals model of protein. |
2008 |
http://sitron.bccs.uib.no/dhcl/ |
[52] |
Sword |
Assign structural domains through the hierarchical merging of protein units. SWORD provides different domain assignments using different merge schemes. |
2017 |
www.dsimb.inserm.fr/sword/ |
[53] |
Predcitedstructure-based |
SnapDRAGON |
DRAGON generates 100 models, and then structure-based domain assignment is used to parse the models into domains. Finally, a result is derived from the consistency of the predicted boundaries. |
2002 |
|
[55] |
RosettaDOM |
RosettaDOM is a hybrid method that uses homology-based methods to predict domain boundaries when homologous templates can be found. When lacking templates, Rosetta is used to generate models, and final domain boundary predictions are derived from the models. |
2005 |
|
[54] |
OPUS-Dom |
Generate a large ensemble of folded structure decoys by VECFOLD, and predicted domain boundaries are derived from the consistency of the domain boundary in the set of 3D models. |
2009 |
|
[56] |