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A Place for Unpublished Gene-to-Protein Information: the Recombinant Proteomic Database Resource
EP26418
Poster Title: A Place for Unpublished Gene-to-Protein Information: the Recombinant Proteomic Database Resource
Submitted on 12 Sep 2017
Author(s): Mark Mixon & Peter Nollert
Affiliations: Bio Data Bridges
This poster was presented at Protein Society Meeting 2017 - The Protein Society's 31st Annual Symposium
Poster Views: 1,075
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Poster Information
Abstract: The objective of this development project is to collect and expose currently inaccessible protein
production information to reduce the effort for establishing new recombinant protein production
systems. We have developed a web-based Recombinant Proteomic Data Resource, allowing entry of
a diverse set of recombinant protein production data, exploration of targets and configuration of new
protein production systems.
Biomedical researchers require highly engineered protein samples to investigate their biological
structure and function. While detailed recombinant protein production information is routinely
collected by researchers in a variety of “in lab” data formats, it is extremely difficult for scientists to
share this information using conventional routes of publication and database submission. Our
research shows that most proteomic information remains invisible to outside parties. We believe
that protein research economics can be greatly improved if this hidden proteomic data is exposed in
a manner that prevents wasteful unnecessary re-treading of trial-and-error protein production
efforts.
In order tackle this issue we have built an online Recombinant Proteomic Data Resource that enables
researchers to easily upload existing data, find and compare experimental details that have yielded
productive or unproductive, but nevertheless instructive protein production results. We show
components of search, exploration and configuration of new gene-to-protein experimental plans.
We discuss how this tool helps to open the door to much improved community-wide protein
research and efficient design of experiments with higher likelihood of success in protein production.
Summary: proteindata.cloud
A search engine and database for protein sample production.
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