1. A new method for publishing three-dimensional content
- Author
-
Eugene Raush, Brian D. Marsden, Max Totrov, and Ruben Abagyan
- Subjects
Overview ,lcsh:Medicine ,Context (language use) ,Bioinformatics ,Data type ,03 medical and health sciences ,Upload ,0302 clinical medicine ,Data visualization ,Computer Graphics ,lcsh:Science ,Biochemistry/Biomacromolecule-Ligand Interactions ,030304 developmental biology ,Physics ,Publishing ,0303 health sciences ,Internet ,Multidisciplinary ,Information retrieval ,Biochemistry/Theory and Simulation ,business.industry ,Biochemistry/Structural Genomics ,lcsh:R ,Hyperlink ,Standalone program ,Visualization ,Biochemistry/Bioinformatics ,Electronic publishing ,lcsh:Q ,Periodicals as Topic ,business ,030217 neurology & neurosurgery ,Software - Abstract
The common approach to electronic publishing three-dimensional biological data in peer-reviewed journals or for disseminating such data within the scientific community has historically required the writing of a two dimensional flat and non-interactive document. The frequent limit on the number of two dimensional color figures permitted in journals further reduces the opportunities for the provision of visualizations. Often the targeted readers of these documents are not expert in the gathering and manipulation of the fundamental data from which the document was provided. For example, three-dimensional protein structures and complexes require the downloading of coordinates from the PDB [1] and then the knowledge and skill to operate a standalone program to simply reproduce the view corresponding to the figure in question and to further interpret it. Further data, such as protein sequences, parts of the electron density [2], etc., may also need to be obtained from remote databases and manipulated to interpret the results and conclusions of the underlying publication. This approach is clearly sub-optimal for scientists who have no experience in protein structure and its visualization. A breakthrough in the ability to collate and integrate pertinent data types and annotations relating to such data into one file that is compact and platform-independent was the iSee platform [3]. In this approach, arbitrary numbers of three-dimensional structural visualizations are possible and the renditions are embedded via hyperlinks in a textual annotation akin to a standard scientific publication. Previously these so-called iSee ‘datapacks’ could be read and viewed using freely-available browser software. A number of other approaches to visualize three-dimensional structures within the context of text have been made since iSee was developed (e.g. [4]–[6]). However, neither these nor iSee have been able to provide full integration within the requirements of peer-reviewed publications and to support both the web delivery of an electronic publication and the local file delivery in a consistent manner. We have recognized that there is a clear requirement to improve the integration and delivery for publication and general dissemination of this type of work. In this overview we provide details of our activeICM approach for the peer-reviewed publishing and sharing of integrated and interactive iSee datapacks, or 3D documents, which is the core technology of the PLoS ONE Collection of which this overview paper is part of.
- Published
- 2016