Actions:

  • Share time spreadsheets (TD)
  • Create github repo for fragalysis documentation (RS)
  • Send Rachael a list of all github repos (& context) (TD)

Major tasks:

  • Fragalysis stack → kubernetes

    • Backend neo4j

    • Deploy JupyterHub (ORN version)

    • Switch to postgres

    • Fragalysis backend to Fragment Network by API

  • Fragment network → kubernetes

  • Squonk → kubernetes

  • Galaxy → kubernetes

  • Migrating Verne to K8s

  • Fragalysis stack CI/CD

  • Fragment network CI/CD

  • Openshift K8s

Notes:

  • Early March for K8S

  • Don’t need CI/CD for demo on kubernetes – should we hold off for 2/3 months? (Travis vs. Jenkins)

  • Testing of documentation (Janssen)

  • Process for AWS exists, but openstack doesn’t (for DLS) – 1 week after start (as long as networking, accessibility etc. work)

  • Need to discuss Galaxy:

    • use helm charts instead of playbooks?

  • Fragalysis questions: Mechanisms for running the data loaders?

  • Janssen: Scott will have a better idea of wether it will be applicable outside of the Fragalysis scope/use (still investigate)

  • Pin down date for starting deployment

  • Long TC for deployment on AWS

  • M2M/Janssen can deploy - can run playbook, entering version that deploys stack to cluster

Actions:

  • Follow-up on technology stack questions with Janssen (TD)
  • Second technology stack meeting - arrange (RS) [week after next]
  • Send containers to Janssen so they can run through tests (TD) - keep sending
  • Link Janssen up with Björn for Galaxy deployment
  • Documentation Repo (for deployment) (RS)
  • Dates for STFC for deployment (openstack) (TD/AC)

Major tasks:

  • Squonk to galaxy link

  • Fragalysis to squonk link

Actions:

  • Review timeline/roadmap

Major tasks:

  1. Scoring method containerised

  2. Finalise docking workflow

  3. Insert Bayesian optimisation

  4. Implement scoring into Galaxy tool

  5. Docking+scoring workflow in galaxy

  6. Improve container

Notes:

  • Currently putting full workflow together before it goes into squonk/galaxy

  • Orchestration between layers needs thought

  • Options should be configurable (e.g. number of poses to dock)

Actions:

  • Chat to Galaxy guys to include GPU node and configure to target it (TD)
  • Check current docking workflow (RS) – arrange f2f @SGC meeting for Friday afternoon (RS)
  • Scope out enumeration step – should we add as galaxy tool? (TD)
  • Scores and poses into SDF file as output of scoring step (TD)

Major tasks:

  1. Improve fragmentation algorithm

  2. Define data-building workflow

  3. Implement API

  4. Add compounds into network via. API

Notes:

  • Relational database - being used to index molecules (all datasets that are processed) – it’s where the molecules are stored before the graph network is created

  • Upper limit (guess) of adding molecules directly into network is ~10,000