An adapted consensus protein design strategy for identifying globally optimal biotherapeutics

Area of Science:

• Biochemistry
• Immunology
• Drug Discovery

Background:

• Biotherapeutic optimization is challenging and resource-intensive.
• Consensus Protein Design enhances protein stability while preserving function.

Purpose of the Study:

• To adapt Consensus Protein Design for optimizing CD3 binders.
• To identify sequence variants improving developability attributes.

Main Methods:

• Studied 21 consensus single-point variants of CD3 binding sequences.
• Utilized Ridge regression analysis to identify beneficial substitutions.
• Generated a multi-substituted variant combining beneficial mutations.

Main Results:

• All single-point variants retained CD3 binding and function.
• Ridge regression identified key variants and positions for improved developability.
• A novel CD3 binder with globally optimized attributes was created.

Conclusions:

• Adapted Consensus Protein Design is effective for lead optimization of therapeutic antibodies.
• This approach conserves resources and reduces development iterations.
• The strategy can accelerate biotherapeutic drug discovery and market success.