video1.0<iframe src="https://www.loom.com/embed/1b00be061f524e3ba446ba122ec24e99" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/1b00be061f524e3ba446ba122ec24e99-0acbc84a50b68156.gif284.544This 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.