Reflect: augmented browsing for the life scientist

By E. Pafilis, S. O’Donoghue, Lars Juhl Jensen, H. Horn, Michael Kuhn, N. P. Brown, Reinhard Schneider. 2009

106 citations recorded by the source corpus.

Anyone who regularly reads life science literature often comes across names of genes, proteins, or small molecules that they would like to know more about. To make this process easier, we have developed a new, free service called Reflect (http://reflect.ws) that can be installed as a plug-in to Firefox or Internet Explorer. Reflect tags gene, protein, and small molecule names in any web page, typically within a few seconds, and without affecting document layout. Clicking on a tagged gene or protein name opens a popup showing a concise summary that includes synonyms, database identifiers, sequence, domains, 3D structure, interaction partners, subcellular location, and related literature. Clicking on a tagged small molecule name opens a popup showing 2D structure and interaction partners. The popups also allow navigation to commonly used databases. In the future we plan to add further entity types to Reflect, including outside the life sciences.

Subfields: Molecular Biology

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In Molecular Biology

Citations in the corpus

The STRING database in 2011: functional interaction networks of proteins, globally integrated and scored (2010, methodology): “Such embedded previews do not have to be limited to static images; external sites can also provide pop-up windows for any protein of interest, the content of the pop-up is then provided by STRING [variants of this mechanism are currently used by the resources Reflect (51) and ViralZone (http://expas”
ChemProt: a disease chemical biology database (2010, background): “In addition, the ‘Reflect’ service provides further information on chemicals and genes (52).”
A side effect resource to capture phenotypic effects of drugs (2010, background): “In particular, researchers can explore the package inserts through the concept of ‘augmented browsing’, in which the side effect terms are highlighted and the user can click on the highlighted terms to retrieve additional information about proteins, chemicals and side effects (Paﬁlis et al , 2009).”