SGC--structural biology and human health: a new approach to publishing structural biology results.

Journal article

The Structural Genomics Consortium (SGC) is a not-for-profit, public-private partnership established to deliver novel structural biology knowledge on proteins of medical relevance and place this information into the public domain without restriction, spearheading the concept of "Open-Source Science" to enable drug discovery. The SGC is a major provider of structural information focussed on proteins related to human health, contributing 20.5% of novel structures released by the PDB in 2008. In this article we describe the PLoS ONE Collection entitled 'Structural Biology and Human Health: Medically Relevant Proteins from the SGC'. This Collection contains a series of articles documenting many of the novel protein structures determined by the SGC and work to further characterise their function. Each article in this Collection can be read in an enhanced version where we have integrated our interactive and intuitive 3D visualisation platform, known as iSee. This publishing platform enables the communication of complex structural biology and related data to a wide audience of non-structural biologists. With the use of iSee as the first example of an interactive and intuitive 3D document publication method as part of PLoS ONE, we are pushing the boundaries of structural biology data delivery and peer-review. Our strong desire is that this step forward will encourage others to consider the need for publication of three dimensional and associated data in a similar manner. © 2009 Lee et al.

Authors: Lee, W; Atienza-Herrero, J; Abagyan, R; Marsden, B

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: Public Library of Science
• Journal: PloS one
• Volume: 4
• Issue: 10
• Article number: e7675
• Publication date: 2009-01-01
• DOI: 10.1371/journal.pone.0007675
• EISSN: 1932-6203
• ISSN: 1932-6203
• Language: English
• Keywords: Amino Acid Sequence; Structural Homology, Protein; Protein Conformation; Protein Folding; Genomics; Computational Biology; Proteins; Humans; Databases, Protein; Publishing