Three models of the resistant and susceptible plant were generated with progressively less confident models using Alphafold2's neural network to model the structures against the known homologues from other AHAS species. The most confident model (first model) of each plant with either P197 or S197 was used for the modeling work in this paper. Alphafold2 builds structural models of a given input FASTA sequence using a two-track system: modeling the sequence based on its neural network and known homologues in the Protein Data Bank (PDB). Alphafold2 was run on the Sapelo2 supercomputer cluster at the Georgia Advanced Computing Resource Center (GARCC) using 1 GPU, 10 CPUs and about 6 hours per structure. All other parameters were defaulted. Documentation about using AlphaFold2 and the different parameters is available at .