chai1-structure-prediction

Chai-1 supports structure prediction for protein-protein, protein-ligand, and protein-DNA/RNA complexes. It generates 3D CIF model artifacts and confidence metrics like ptm, iptm, plddt, and pae to validate structural design hypotheses.

Protein structure prediction workflows generate ptm, iptm, plddt, and pae confidence metrics. These scores evaluate structural quality and enable downstream ranking and compatibility with QC tools like protein-design-qc and ipsae.

Yes, you can run batch protein structure predictions via Modal API execution. This enables scalable design validation for multiple protein complexes, generating CIF models and confidence scores for each submitted FASTA sequence.

For downstream quality control of predicted protein structures, use tools like protein-design-qc and ipsae. The workflow outputs CIF models and confidence metrics specifically formatted for compatibility with these QC and ranking applications.

Yes, Chai-1 structure prediction supports protein-ligand and protein-DNA interactions alongside protein-protein complexes. It processes these diverse molecular interfaces to generate 3D structural models and validation metrics.