PROTEIN FUNCTION PREDICTION
Presentations
Practical lessons
- Protein Function Prediction,
using approaches not based on the detection of sequence similarity
A selection of links
Approaches based on the detection of sequence similarity
Approaches not based on the detection of sequence similarity
- ProtFun
, function prediction from sequence features
- Gene Predictions
, function prediction by a combination of machine learning and data mining
approaches.
- FusionDB
, database of gene fusion events.
- AllFuse
, database of gene fusion events.
- COGs
, clusters of orthologous groups of genes. Phylogenetic profiles.
-
TreeCorr
, co-evolution of interacting proteins
- EcID
, functional association between E. coli proteins, deduced from
the integration of several methods.
- Predictome
, functional association between proteins, deduced from the integration of
several methods.
- STRING
, functional association between proteins, deduced from the integration of
several methods.
- Prolinks
, functional association between proteins, deduced from the integration of
several methods.
- DIP
, database of experimentally detected protein interactions.
- BIND
, database of experimentally detected protein interactions.
- MIPS
, S. cerevisiae interactions (10.570: 9.030 physical and 1.540 genetic)
-
PIMrider
, interactions in drosophila, HIV and H. pylori (registration required).
- IntAct
, database of experimentally detected and predicted interactions, at the
EBI.
March 2004