Migrating pKa data from DrugMet to Wikidata

In 2010 Samuel Lampa and I started a pet project: collecting pKa data: he was working on RDF extension of MediaWiki and I like consuming RDF data. We started DrugMet. When you read this post, this MediaWiki installation may already be down, which is why I am migrating the data to Wikidata. Why? Because data curation takes effort, I like to play with Wikidata (see this H2020 proposal by Daniel Mietchen et al.), I like Open Data, and it still much needed. 3 minute read

Adding disclosures to Wikidata with Bioclipse

Last week the huge, bi-annual ACS meeting took place (#ACSSanDiego), during which commonly new drug (leads) are disclosed. This time too, like this one tweeted by Bethany Halford: 2 minute read

Adding chemical compounds to Wikidata

Adding chemical compounds to Wikidata is not difficult. You can store the chemical formula (P274), (canonical) SMILES (P233), InChIKey (P235) (and InChI (P234), of course), as well various database identifiers (see what I wrote about that [here(http://chem-bla-ics.blogspot.nl/2015/12/new-edition-getting-cas-registry.html)]). It also allows storing of the provenance, and has predicates for that too. 2 minute read

Chemistry Central and the ORCID identifier

If you are a scientist you have heard about the ORCID identifier by now. If not, you have been focusing on groundbreaking research and isolated yourself from the rest of the world, just to make it perfect and get that Nobel prize next year. If you have been working on impactful research, Nobel prize-worthy, and have been blogging and tweeting about your progress, as a good Open Scholar, you know ORCID is the DOI for “research contributors” and you already have one yourself, and probably also that T-shirt with your own identifier. Mine is 0000-0001-7542-0286, and almost 1.3M other authors got one too. The list of ORCIDs on Wikipedia is growing (and Wikidata), thanks to Andy Mabbett, whom also made it possible to add your ORCID on WikiPathways. 1 minute read

Programming in the Life Sciences #20: extracting data from JSON

I previously wrote about the JavaScript Object Notation (JSON) which has become a de facto standard for sharing data by web services. I personally still prefer something using the Resource Description Framework (RDF) because of its clear link to ontologies, but perhaps JSON-LD combines the best of both worlds. 2 minute read

Programming in the Life Sciences #19: debugging

Debugging is the process find removing a fault in your code (the etymology goes further back than the moth story, I learned today). Being able to debug is an essential programming skill, and being able to program flawlessly is not enough; the bug can be outside your own code. (… there is much that can be written up about module interactions, APIs, documentation, etc, that lead to malfunctioning code …) 4 minute read

Programming in the Life Sciences #17: The Open PHACTS scientific questions

I think the authors of the Open PHACTS proposal made a right choice in defining a small set of questions that the solution to be developed could be tested against. The questions being specific, it is much easier to understand the needs. In fact, I suspect it may even be a very useful form of requirement analysis, and makes it hard to keep using vague terms. 3 minute read