ThermoMPNN

ThermoMPNN predicts ΔΔG for single amino acid substitutions in structured proteins using a graph neural network with transfer learning from ProteinMPNN. Given a PDB structure (up to 1,024 residues) and an optional chain ID, the API scores user-specified point mutations or performs full site-saturation mutagenesis when no mutation list is provided. This service supports high-throughput, GPU-accelerated stability profiling for protein engineering, variant prioritization, and mechanistic analysis of local stability effects.