[DGIdb](http://www.dgidb.org/getting_started) is another resource for searching for drug-gene interactions. We need a paradigm for NF1 which has no known small-chemical interactions. Here is the drill suggested by DGIdb (I am editing their statement for our case): * NF1 may be "'potentially' druggable according to their membership in gene categories associated with druggability (e.g., kinases). Membership in these categories is useful for prioritizing a list of genes according to their potential for drug development. " * The database is "biased towards genes that are amenable to targeting by small molecules such as kinases, ion channels, etc. * "DGIdb does not currently provide any information regarding the druggability of specific mutations * "DGIdb includes 39 potentially druggable categories and least 35 interaction types as defined by source datasets. **Interaction types** include: * inhibitors * activators * cofactors * ligands * vaccines * interactions of unknown type For NF1, DGIdb shows 22 interactions: ${synapsetable?query=select drug%2C sources%2C pmids from syn20734827&showquery=true} We can maybe infer potential binding sites by looking for common or similar binding sites of the drugs in the above list. There is a [RESTful API](http://www.dgidb.org/api) and also a [Python class in GitHub](https://gist.github.com/gatoravi/9199677) available. I won't automate access because I think the above is all I can glean. Note that DGIdb also lists a number of NF1 [pseudo-genes](https://en.wikipedia.org/wiki/Pseudogene), [NF1P1](https://www.genecards.org/cgi-bin/carddisp.pl?gene=NF1P1) through [NF1P12](https://www.genecards.org/cgi-bin/carddisp.pl?gene=NF1P12). I didn't look these up because I don't know that they survive into the exome or are in any way useful to us. Please comment if you think pseudo-genes are of interest.