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Proteomics

Proteomics

A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...

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Mapping Dysfunctional Protein-Protein Interactions in Disease

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A community proposal to integrate proteomics activities in ELIXIR.

Juan Antonio Vizcaíno¹, Mathias Walzer¹, Rafael C Jiménez²

¹European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, CB10 1SD, UK.

|July 18, 2017

Summary

This summary is machine-generated.

This white paper proposes integrating computational proteomics into ELIXIR, a European research infrastructure. It outlines priority areas and strategies to enhance omics technologies and services.

Keywords:

bioinformatics infrastructure computational proteomics data standards databases mass spectrometry multi-omics approaches.proteomics training

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Area of Science:

Proteomics
Bioinformatics
Computational Biology

Background:

Computational approaches are crucial for advancing proteomics.
ELIXIR, a European distributed infrastructure, aims to support a broad portfolio of omics technologies.
Current ELIXIR services have gaps in computational proteomics tools and services.

Purpose of the Study:

To propose a framework for integrating computational proteomics into ELIXIR.
To identify priority areas for computational proteomics within ELIXIR.
To suggest how these activities can be integrated into existing ELIXIR platforms.

Main Methods:

The white paper is based on discussions from a strategy meeting on 'The Future of Proteomics in ELIXIR' in March 2017.
Representatives from eleven ELIXIR nodes participated in the meeting.
Discussions identified priority areas and integration strategies.

Main Results:

A list of priority areas in computational proteomics was developed.
Suggestions for integrating computational proteomics into ELIXIR platforms were made.
Potential for a new ELIXIR use case in proteomics was highlighted.

Conclusions:

Integrating computational proteomics into ELIXIR is a key future step.
This integration will broaden ELIXIR's omics technology portfolio.
The white paper serves as a starting point for further refinement and stakeholder collaboration.