{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/1b00be061f524e3ba446ba122ec24e99\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/1b00be061f524e3ba446ba122ec24e99-0acbc84a50b68156.gif","duration":284.544,"title":"Running Boltz2 Protein Ligand Cofolding Pipeline","description":"This Loom explains how to run Boltz code folding to co-fold a protein sequence with a ligand smile string for binding and activity prediction. It describes that the simulation places the ligand into the protein pocket tied to biological activity, using an example of an ATP-competitive kinase inhibitor binding at the hinge region. The results include confidence scores, affinity probability heuristics, and a predicted pIC50, with optional triage to MD using ProteinLoginMD and MMPBSA/MMGBSA for more robust scoring. The walkthrough then shows using RevBind and Boltz2 with a demo file, specifying inputs like AXLChainA and the smile string CSV or manual entry, creating and managing the pipeline from the central hub."}