This talk was presented by Jean-Claude Bradley at the American Chemical Society meeting in Philadelphia on August 20, 2008. An introduction to Open Notebook Science is presented followed by an illustration of how ONS can be used in drug discovery. New data relating to the anti-malarial activity of Ugi products on 2 falcipain-2 docking sites is detailed. The docking calculations were provided by Rajarshi Guha and the enzyme and in vitro assays on Plasmodium falciparum ...

Presented as part of the session titled “Sharing scientific data: who benefits?” at ESOF (The Euroscience Open Forum) 2008.Session abstract: Digital datasets—text-based, numeric, audio, video or image-based—form the output of all scientific disciplines. How are these data being made available for sharing? What quality control mechanisms are in place? What kinds of naming conventions, tags, and metadata are in use and how effective are they at helping to manage open data? Who is storing, archiving ...

The R statistical analysis package has emerged as a popular platform for implementation of powerful comparative methods to understand the evolution of organismal traits and diversification. A hackathon was organized to bring together active R developers as well as end-users working on the integration of comparative phylogenetic methods within R to actively address issues of data exchange standards, code interoperability, usability, documentation quality, and the breadth of functionality for comparative methods available within R. Outcomes ...

We define phosphovariants as genetic variations that change phosphorylation sites or their interacting kinases. Considering the essential role of phosphorylation in protein functions, it is highly likely that phosphovariants change protein functions and may constitute a proportion of the mechanisms by which genetic variations cause individual differences or diseases. We categorized phosphovariants into three subtypes and developed a system that predicts them. Our method can be used to screen important polymorphisms and help to identify ...

Increasingly, in data-intensive areas of the life sciences, experimental results are being described in algorithmically useful ways with the help of ontologies. Such ontologies are authored and maintained by scientists to support the retrieval, integration and analysis of their data. The proposition to be defended here is that ontologies of this type – the Gene Ontology (GO) being the most conspicuous example – are a part of science. Initial evidence for the truth of this ...