EvolutionaryScale

1. Input the known structure and function of existing PETase enzymes.

2. Prompt ESM3 to generate novel sequences with enhanced degradation capabilities.

3. Analyze the predicted structures of the generated sequences to assess stability and binding affinity.

4. Select the most promising candidates for experimental validation.

5. Synthesize and test the novel PETase enzymes for activity and efficiency.

1. Input the sequence of GFP (Green Fluorescent Protein).

2. Use chain-of-thought prompting to guide ESM3 in generating variants with enhanced fluorescence.

3. Evaluate the predicted brightness and photostability of the new variants.

4. Select the top candidates for synthesis.

5. Characterize the fluorescent properties of the synthesized proteins.

1. Input the sequence and structure of an existing antibody.

2. Prompt ESM3 to optimize the CDR (Complementarity Determining Region) loops for enhanced binding.

3. Analyze the predicted binding affinity using computational docking.

4. Select the optimized antibody sequences for expression and purification.

5. Validate the binding affinity using ELISA or SPR assays.

1. Input the sequence and structure of carbonic anhydrase.

2. Prompt ESM3 to generate variants with improved CO2 binding and catalytic activity.

3. Evaluate the predicted kinetic parameters using computational simulations.

4. Select the most promising candidates for experimental testing.

5. Assess the CO2 capture efficiency of the engineered enzymes.

1. Define the desired therapeutic effect and target protein.

2. Prompt ESM3 to design a protein with the desired function.

3. Evaluate the predicted efficacy and safety of the designed protein.

4. Select the best candidate for preclinical studies.

5. Conduct in vitro and in vivo experiments to validate the therapeutic potential.