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Please bear in mind the prediction programs have a false positive rate and all results should be assessed with biological context in mind.

Query a single protein: protein iELM

e.g. EPS15_HUMAN; SOS1_HUMAN; P25054


Please choose database your ID is from:

Please choose domains search method:

iELM HMMs are trained to recognise linear motif-binding domains based on annotation of known PDB structures and literature searches. This is updated regularly but poorly-studied domains may be missed. If so, Pfams HMMs can be used. These HMMs will identify all globular domains of a particular type but will not take into account the specificity linear motifs often have for sub-groups of a domain family.For more information, please click here

Only human IDs work at present. More species will be added in the near future.

Query a protein interaction network: proteomic ielm

e.g. example 1; example 2

Please choose database your IDs are from:

Please choose domains search method:

iELM HMMs are trained to recognise linear motif-binding domains based on annotation of known PDB structures and literature searches. This is updated regularly but poorly-studied domains may be missed. If so, Pfams HMMs can be used. These HMMs will identify all globular domains of a particular type but will not take into account the specificity linear motifs often have for sub-groups of a domain family. For more information, please click here

There is a limit of 75,000 interactions for a tabulated list or 400 IDs for all-against-all search.
Only human IDs work at present. More species will be added in the near future


iELM1.0 predicts linear motif mediated interactions of ELM annotated functional classes. This form allows a user to search their protein of interest for short linear motif-mediated interactions within the high-quality protein-protein association data extracted from the STRING database














Proteomic iELM searches a users protein-protein interaction dataset for short linear motif mediated interactions. The user may input data in two ways:
1) A list of protein with a seperate ID on each line. For example press here
2) Two proteins per a line seperated by a space (as in the example). The program will only test specified associations. For example press here

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