eFIP statistics

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Citations per year

Number of citations per year for the bioinformatics software tool eFIP

Tool usage distribution map

This map represents all the scientific publications referring to eFIP per scientific context
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Associated diseases


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eFIP specifications


Unique identifier OMICS_05275
Name eFIP
Alternative names extracting Functional Impact of Phosphorylation, eFIP online
Interface Web user interface
Restrictions to use None
Computer skills Basic
Stability Stable
Maintained Yes


  • person_outline Cecilia Arighi

Publications for extracting Functional Impact of Phosphorylation

eFIP citations


Text Mining for Protein Docking

PLoS Comput Biol
PMCID: 4674139
PMID: 26650466
DOI: 10.1371/journal.pcbi.1004630

[…] abstracts, which are relevant to tumor-related chemicals posing risk to human health []. PIE utilizes word and syntactic features to effectively capture PPI patterns from biomedical literature [, ]. eFIP mines information on phosphorylation and related interactions of a given protein using rule-based NLP []. PPInterFinder extracts Medline abstracts on human proteins using co-occurrences of protei […]


Construction of phosphorylation interaction networks by text mining of full length articles using the eFIP system

PMCID: 4381107
PMID: 25833953
DOI: 10.1093/database/bav020

[…] ), as well as 16 195 unique UniProtKB entries in MEDLINE abstracts (5516 unique kinases, 15 086 unique substrates and 6040 unique interacting proteins). shows the distribution of results extracted by eFIP from full-text articles for the various types of subsections. A total of 7877 subsections (spanning 5866 different articles) contain phosphorylation–PPI relations that are relevant to eFIP: 2098 […]


Application of text mining for updating protein post translational modification annotation in UniProtKB

BMC Bioinformatics
PMCID: 3660268
PMID: 23517090
DOI: 10.1186/1471-2105-14-104

[…] first tool for protein phosphorylation information extraction [,]. This tool processes documents with a shallow parser and then extracts information by matching text with manually designed patterns. eFIP is a system produced by the developers of RLIMS-P which combines various tools to identify abstracts which provide information on the functional context of protein phosphorylation, such as protei […]


An overview of the BioCreative 2012 Workshop Track III: interactive text mining task

PMCID: 3625048
PMID: 23327936
DOI: 10.1093/database/bas056

[…] A main goal of eFIP is to suggest documents containing information that is relevant for biocuration of phosphorylated proteins related to protein–protein interactions. The eFIP system ranks abstracts based on the am […]

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eFIP institution(s)
Department of Computer and Information Sciences, University of Delaware, Newark, DE, USA

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