Erica Wood

> I note that in Neo4j 4.2, apparently there is a way to give a _user_ read-only access: > https://neo4j.com/docs/operations-manual/current/authentication-authorization/access-control/ At the top of the page you linked, it says...

We currently extract the SMILES information from DrugBank and HMDB. In `KG2.10.0pre`, it looks like this is saved under the property `has_biological_sequence`. This was explored in this issue, several years...

Here are the most common phrases in the drug interaction sentences: ``` { "CNS": 295660, "CNS depression": 295614, "CNS depression can": 295568, "CNS depression can be": 295568, "CNS depression can...

The risk/severity items can be decoded with this code. This maps 1,209,578 of the 2,839,486 drug interaction sentences (roughly 43%): ```python def risk_or_severity_matches(sentence): start = "The risk or severity of...

The increase/decrease activity items were extracted with this code. These sentences account for about 310,627 of the total 2,839,486 (about 10%). ```python def may_impact_activities(sentence): increased = " may increase the...

This map covers all of the sentence types in the DrugBank drug interaction field: (the keys are placeholders for the fields that change with each entry) ```python "risk_or_severity_increase": ["The risk...

[02f1cbb](https://github.com/RTXteam/RTX-KG2/commit/02f1cbb84f161eaa974cf7197b67992f019ccc97) contains the code for identifying and extracting information from the different sentence types. A few disclaimers: - I tried to verify places where interaction drug vs main drug occur,...

This should hopefully be a good stepping stone towards #369 (to include other free text information from DrugBank in KG2).

I was able to fix this by downloading `https://bootstrap.pypa.io/pip/3.7/get-pip.py` instead. However, this seems like a temporary fix.

This is also causing issues with Dependabot: https://github.com/RTXteam/RTX-KG2/security/dependabot/19 https://github.com/RTXteam/RTX-KG2/security/dependabot/9 (See commits f2fb19b and 80266d9)