Linux.conf.au 2018 – Day 2 – Keynote – Matthew Todd

Collaborating with Everybody: Open Source Drug Discovery

  • Term used is a bit undefined. Open Source, Free Drugs?
  • First Open Source Project – Praziquantel
    • Molecule has 2 mirror image forms. One does the job, other tastes awful. Pills were previously a mix
    • Project to just have pill with the single form
      • Created discussion
      • Online Lab Notebook
      • 75% of contributions were from private sector (especially Syncom)
      • Ended up finding a approach that worked, different from what was originally proposed from feedback.
      • Similar method found by private company that was also doing the work
  • Conventional Drug discovery
    • Find drug that kills something bad – Hit
    • Test it and see if it is suitable – Led
    • 13,500 molecules in public domain that kill maleria parasite
  • 6 Laws of Open Scrience
    • All data is open and all ideas are shared
    • Anyone can take part at any level of the project
  • Openness increasing seen as a key
  • Open Source Maleria
    • 4 campaigns
    • Work on a molecule, park it when doesn’t seem promising
    • But all data is still public
  • What it actually is
    • Electronic lab book (80% of scientists still use paper)
    • Using Labtrove, changing to labarchives
    • Everything you do goes up every day
    • Todo list
      • Tried stuff, ended up using issue list on github
      • Not using most other github stuff
    • Data on a Google Sheet
    • Light Website, twitter feed
  • Lab vs Code
  • Have a promising molecule – works well in mice
    • Would probably be a patentable state
    • Not sure yet exactly how it works
  • Competition – Predictive model
    • Lots of solutions submitted, not good enough to use
    • Hopeful a model will be created
  • Tried a a known-working molecule from elsewhere, but couldn’t get it to work
    • This is out in the open. Lots of discussion
  • School group able to recreate Daraprim, a high-priced US drug
  • Public Domain science is now accepted for publications
  • Need to to make computers understand molecule digram and convert to representative format which can then be search one.
  • Missing
    • Automated links to databases in tickets
    • Basic web page stuff, auto-porting of data, newsletter, become non-profit, stickers
    • Stuff is not folded back into the Wiki
  • OS Mycetoma – New Project
    • Fungus with no treatment
    • Working on possible molecule to treat
  • Some ideas on how to get products created this way to market – eg “data exclusivity”

 

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