The experiment centres on Structured Digital Abstracts (SDA). SDA are extensions of the normal journal article abstracts that describe the relationship between two biological entities, mentioning the method used to study the relationship. Each sentence is preceded by one or more identifiers pointing to the corresponding database entries that contain the full details of the interaction e.g. protein A interacts with protein B, by method X.
The aim of SDA is to assist data entry, text mining and literature searching by extracting the salient data from the article into simple sentences using a defined structure and controlled vocabularies.
Gianni Cesareni, Editor of FEBS Letters explains:
Many articles in biological journals describe relationships between entities (genes, proteins, etc.) yet this information cannot be efficiently used because of difficulties in retrieving from text. Databases capture this valuable information and organize it in a structured format ready for automatic analysis. The experiment of using SDAs will facilitate database entry and improve disclosure, to the benefit of authors and readers.