# Enhancing the International Molecular Exchange (IMEx): Providing an Improved Community-Oriented Molecular Interactions Resource

> **NIH NIH R01** · UNIVERSITY OF CALIFORNIA LOS ANGELES · 2020 · $443,361

## Abstract

Project Summary
 The IMEx Consortium (http://www.imexconsortium.org/) is an international collaboration between major public
interaction data providers which captures experimental data through literature curation and deposition by bench
scientists. IMEx member databases share and coordinate their curation efforts, using a central registry
(IMExCentral: https://imexcentral.org/icentral/) to manage the selection of articles in order to provide a single,
non-redundant, consistently-annotated set of protein interactions. In contrast to other currently active interaction
databases, IMEx curators follow a detailed curation model which captures information on experimental methods
and biologically important details such as essential binding regions and post-translational modifications, as well
as mutations and their effect on protein interactions. This allows downstream users to analyze protein interaction
networks and their regulation in normal and disease states.
 In this proposal we seek support for the continuation and extension of IMEx activities related to the curation
and provision of interaction data with special emphasis on human interactome. Over the next five years, we will
(1) augment the IMEx interaction dataset by curating information from at least 4000 new publications, providing
tens of thousands of human protein interactions; (2) disseminate new and existing IMEx interaction records
through a new, consortium-wide IMEx Protein Interaction Resource, which will include an interactive web site, a
standards-compliant PSICQUIC web-service and ftp download site (customized subsets of the data will be
provided to our long term collaborators, Reactome, UniProtKB and GO Consortium); (3) provide training for
existing and new user communities on the use of protein interaction data and network analysis of cancer-related
`big data'.

## Key facts

- **NIH application ID:** 9889148
- **Project number:** 5R01GM123126-03
- **Recipient organization:** UNIVERSITY OF CALIFORNIA LOS ANGELES
- **Principal Investigator:** Matteo Pellegrini
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $443,361
- **Award type:** 5
- **Project period:** 2018-03-01 → 2022-02-28

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9889148

## Citation

> US National Institutes of Health, RePORTER application 9889148, Enhancing the International Molecular Exchange (IMEx): Providing an Improved Community-Oriented Molecular Interactions Resource (5R01GM123126-03). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/9889148. Licensed CC0.

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