My research is about the interaction of (machine) representation and the impact on the success of data analysis (matchine learning, chemometrics, AI, etc). See the posts about molecular chemometrics. This got me into FAIR: making data interoperable and being able to (really) reuse data is the starting point of doing research.

Just before the end of the year, the Wikidata subsetting: approaches, tools, and evaluation paper by Seyed Amir Hosseini Beghaeiraveri et al. got published (doi:10.3233/SW-233491). I am really excited our group (i.e. Ammar and Denise) has been able to contribute to this. I think it also is a great example of the power of hackathons to bring together people.

2023 has been a long year in which a lot happens. Two EU projects ended (RiskGONE and NanoSolveIT; more about that in a later post), our group leader Chris Evelo will retire this year, the ELIXIR Toxicology Community started (see this post), the new WikiPathways website launched (see this post), and a lot, lot more.

This week the next WikiPathways NAR Database issue paper was published (doi:10.1093/nar/gkad960). It is the next paper in a series of papers about the evolution of the Open Science project for making biological pathways available in a Open and FAIR way. This year, it described that significant move away from MediaWiki.

Two weeks ago the write up of a week-long scientific discussions around artificial intelligence for natural product drug discovery in Leiden at the Lorentz Center got published (doi:10.1038/s41573-023-00774-7, free PDF). Sadly, the meetings was still during the (partial) lockdown, and I think my contribution could have been more extensive.

This paper got published in July already, but I had not had the time yet to blog about this exciting work by Irini Furxhi and Ammar Ammar: A data reusability assessment in the nanosafety domain based on the NSDRA framework followed by an exploratory quantitative structure activity relationships (QSAR) modeling targeting cellular viability (doi:10.1016/j.impact.2023.100475) The study has two sides to it: first, it looks into how far we

About four weeks ago the Fall 2023 American Chemical Society meeting (#ACSFall2023). I have attended a few ACS meetings in person and even organized a symposium at the 2010 ACS meeting in Boston. This time too, I did not participate in person, tho visiting San Francisco again would have been nice. I gave two presentations (slides doi:10.5281/zenodo.8255394), but have not uploaded my slides of the first presentation to Zenodo yet.

I just want to drop this here. There are various ways to make BridgeDb identifier mapping files.

This is my last post on blogger.com. At least, that is the plan. It has been a great 18 years. I like to thank the owners of blogger.com and Google later for providing this service. I am continuing the chem-bla-ics on a new domain: https://chem-bla-ics.linkedchemistry.info/ I, like so many others, struggle with choosing open infrastructure versus the freebie model.

Some days ago, I started added boiling points to Wikidata, referenced from Basic Laboratory and Industrial Chemicals (wikidata:Q22236188), David R. Lide’s ‘a CRC quick reference handbook’ from 1993 (well, the edition I have). But Wikidata wants pressure (wikidata:P2077) info at which the boiling point (wikidata:P2102) was measured. Rightfully so. But I had not added those yet, because it slows me and can be automated with QuickStatements.