Difference between revisions of "Sequence-based predictions (Phenylketonuria)"
From Bioinformatikpedia
(→GO terms) |
(→Summary) |
||
| Line 1: | Line 1: | ||
== Summary == |
== Summary == |
||
| + | Sequence-based prediction approaches are useful to predict a variety of structural and functional properties of proteins. Here we used different methods to provide useful information about our protein sequence and some other given proteins (in brackets): |
||
| − | ... |
||
| + | * ReProf for secondary structure prediction (P10775, Q9X0E6, Q08209) |
||
| + | * IUPred and MD (MetaDisorder) for the prediction of the disorder |
||
| + | * PolyPhobius and MEMSAT-SVM to predict transmembrane helices (P35462, Q9YDF8, P47863) |
||
| + | * SignalP to predict signal peptides |
||
| + | * GOPET and ProtFun2.0 to predict GO terms |
||
| + | * Pfam with a sequence search to find out more about the Pfam family of our protein |
||
== Secondary structure == |
== Secondary structure == |
||
Revision as of 07:05, 11 May 2013
Contents
Summary
Sequence-based prediction approaches are useful to predict a variety of structural and functional properties of proteins. Here we used different methods to provide useful information about our protein sequence and some other given proteins (in brackets):
- ReProf for secondary structure prediction (P10775, Q9X0E6, Q08209)
- IUPred and MD (MetaDisorder) for the prediction of the disorder
- PolyPhobius and MEMSAT-SVM to predict transmembrane helices (P35462, Q9YDF8, P47863)
- SignalP to predict signal peptides
- GOPET and ProtFun2.0 to predict GO terms
- Pfam with a sequence search to find out more about the Pfam family of our protein
Secondary structure
...
Disorder
...
IUPred
...
MD (MetaDisorder)
...
Transmembrane helices
...
PolyPhobius
...
MEMSAT-SVM
...
Signal peptides
...
GO terms
...
Pfam
...
