esmfold2

What problem does it solve?

ESMFold2 predicts protein structures from single-sequence inputs or Multiple Sequence Alignments (MSA) inputs and offers additional features such as embedding generation, mutation scoring, contact prediction, and SAE features for interpretability.

Core Features & Use Cases

• Single-sequence Structure Prediction: Accurately predict complex structures of proteins.
• Validation with ESMFold2-Fast: Validate designed binders using ESMFold2-Fast's rapid prediction speed.
• Multiple Sequence Alignments: Run predictions using MSA inputs to validate binding and interface accuracy.
• Use Case: If you are a structural biologist and you need to design and validate new protein binders or understand the protein interfaces for research, this Skill provides the tools for high-precision prediction.

Quick Start

To run an ESMFold2 structure prediction with MSA input for your protein sequences, you can use the following command: python run_structure_prediction('my_seq.msa', output_format='cif')