You can select either to compare two Citrus species against a bacteria proteome or two bacteria proteomes against a Citrus.

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If you keep the same species for both dropdowns, it will generate the interactome of that single species against the bacteria or the Citrus (depending what you selected)

The International Molecular Exchange Consortium (IMEX) had the initiative to cluster the largest public interaction data providers. From those we have selected five (HPIDB, MINT, DIP, BioGRID and IntAct) as we think are the most comprehensive for the study of citrus interactions, althought this databases can be used for general purposes (any dataset can be used in this service)

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HPIDB is the default database, because is the only one solely made by host-pathogen interactions. The extra four include any kind of protein-protein interactions.

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Summary of the databases version running on this service:

HPIDB have 19,395 sequences with 62,653 interactions.

MINT have 24,226 sequences with 123,890 interactions.

DIP have 20,532 sequences with 76,881 interactions.

STRING have 130,820 sequences with 2,028,129 interactions.

BioGRID have 50,096 sequences with 1,530,395 interactions.

IntAct have 93,869 sequences with 843,123 interactions.

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Please notice that can be overlapping data between databases.

Please upload a valid FASTA file or paste a valid sequence in the text area for Host.

Please upload a valid FASTA file or paste a valid sequence in the text area for Pathogen.

Please upload a valid FASTA file or paste a valid sequence in the text area for both datasets (Pathogen & Host).

There is a problem with the input provided.

Please check the email (you must provided a valid email).

Please check your minimum identity percentage (valid number from 1 to 100).

Please check your minimum coverage percentage (valid number from 1 to 100).

Please check your evalue (valid number).

Also you can leave it blank (This will run with default values) to continue with the Interolog prediction service.

You have succesfully submitted a query to the Interolog prediction service at PredHPI.