In those turbulent times, many pharmaceutical companies were still managing some of their R&D information systems on paper. Those that had moved to computer-based systems were tied to the mainframe, with little or no interactive access. All updates and queries were performed in batch mode – apart from online searches of external systems, which were carried out mostly on teletypes.
For those who couldn't make it, the code orientation slides and meeting recording are now available.
We don’t suffer a lack of ideas for potential Pistoia Alliance projects. The trick is getting a critical mass (including people and funds) behind an idea to turn it into an active project driving toward a solution.
The Pistoia Alliance is partnering with the TM Forum (a non-profit ndustry association focused on enabling service provider agility and …
The Pistoia Alliance is signposting the Hierarchical Editing Language for Macromolecules (HELM) developed at Pfizer as a way to solve the problem with how to consistently represent large molecules, such as proteins, peptides, oligonucleotides, and small molecule drugs.
The Pistoia Alliance App Strategy was outlined during a webinar presentation on 9 November. The presentation began with a brief overview of the three proposed phases of the Pistoia Alliance AppStore, and continued on with a lively question and answer session that covered all facets of our strategy and “appification” in life science R&D.
In this entry, I invited Sean to discuss how the app works. The work on ODDT demonstrates the importance of the Pistoia Alliance’s newappification strategy, which aims to make informatics tools accessible to scientists and the broader community interested in using mobile devices to conduct and communicate about science.
One of the great things about mobile apps is that they are low-profile, easy-to-adopt tools that theoretically could remove traditional barriers between information sources.
In my last entry, I posited that technology should NOT be a barrier to “appifying” R&D workflows. So why haven’t apps taken off so far in R&D? I’d argue that it comes down to the paradigm shift that mobile technology has created in computing.