Cradle

1. Import existing antibody sequence and binding affinity data.

2. Define target binding affinity and other desired properties.

3. Use Cradle's AI to generate a library of antibody variants.

4. Order DNA for top candidates and express the antibodies.

5. Measure binding affinity of the variants.

6. Upload new data to Cradle to refine the model.

7. Iterate until desired affinity is achieved.

1. Import enzyme sequence and activity data.

2. Define desired activity levels and other properties like stability.

3. Generate enzyme variants using Cradle's design tools.

4. Express and purify the enzyme variants.

5. Measure the activity of the variants.

6. Upload data back to Cradle to improve the model.

7. Repeat until the desired activity is reached.

1. Import antigen sequence and stability data.

2. Define target stability and other relevant properties.

3. Generate stabilized antigen variants using Cradle.

4. Express and purify the variants.

5. Assess the stability of the variants under various conditions.

6. Upload data to Cradle to refine the model.

7. Iterate until satisfactory stability is achieved.

1. Import peptide sequence and activity/stability data.

2. Define target efficacy and stability criteria.

3. Generate optimized peptide variants using Cradle.

4. Synthesize the peptides.

5. Test the efficacy and stability of the peptides.

6. Upload data back to Cradle.

7. Repeat until desired properties are achieved.

1. Start with a protein scaffold.

2. Use Cradle to design variants with desired functional properties.

3. Test the designed proteins in vitro.

4. Use the experimental data to train Cradle's AI models.

5. Repeat until a protein with novel function is achieved.