Wikidata is building up a curated collection of information about chemicals. A lot of data originates from Wikipedia, but active users are augmenting this information. Of particular interest, in this respect, is Sebastian's PubChem ID curation work (he can use a few helping hands!). Followers of my blog know that I am using Wikidata as source of compound ID mapping data for BridgeDb.

Each chemical can have one or two associated SMILES strings. A canonical SMILES, that excludes any chirality, and a isomeric SMILES that does include chirality. Because statement values can be linked to a formatter URL, Wikidata often has values associated with a link. For example, for the EPA CompTox Dashboard identifiers it links to that database.

One of the projects I worked on at Karolinska Institutet with Prof. Grafström was the idea of combining transcriptomics data with dose-response data. Because we wanted to know if there was a relation between the structures of chemicals (drugs, toxicants, etc) and how biological systems react to that. Basically, testing the whole idea behind quantitative-structure activity relationship (QSAR) modeling.
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This blog deals with chemblaics in the broader sense. Chemblaics (pronounced chem-bla-ics) is the science that uses computers to solve problems in chemistry, biochemistry and related fields. The big difference between chemblaics and areas such as chem(o)?informatics, chemometrics, computational chemistry, etc, is that chemblaics only uses open source software, open data, and open standards, making experimental results reproducible and validatable. And this is a big difference!
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