Modelling of Spongilla lacustris proteome with functional annotations

Link to project in ModelArchive (incl. background on project itself)

Setup:

• Using ColabFold for monomer predictions with AlphaFold without links to sequence databases
• Input from them:
  • one tarball for the PDB files
  • one tarball for the JSON files
  • a CSV file with title and description for each protein
  • FASTA file with all sequences (used for sanity checks)

Special features here:

• Description is long multiline text which includes output from functional annotation
• Expected to be the first set of models converted by us to ModelCIF and fully imported into ModelArchive
• Includes generic code for handling of ColabFold setup based on config.json

Content:

• translate2modelcif.py : script to do conversion; compatible with Docker setup from ma-wilkins-import (and script based on code there)