Antibody Drug Optimization Service

Antibody drugs exhibit significant potential in disease treatment due to their high specificity and targeting capabilities. Leveraging its advanced computational methods and experienced professional team, CD ComputaBio offers efficient and precise antibody optimization services, helping you achieve breakthroughs in oncology, immunology, and infectious diseases.

Introduction to Antibody Drugs

Antibody drugs have become an important means for treating major diseases. Currently, over 100 antibody therapies have been approved globally, improving the quality of life for patients with severe conditions such as cancer, autoimmune diseases, and chronic inflammation. In recent years, the annual approval rate of antibody drugs has shown steady growth (an average of 6-13 approvals per year by the FDA/EMA). While the IgG format remains dominant, innovative forms are continuously emerging, such as antibody-drug conjugates (ADCs), bispecific antibodies (BsAbs), and nanobodies. Their application areas are expanding from traditional indications to infectious diseases, neurodegenerative diseases, metabolic disorders, and more.

Fig 1. Selected approved and clinical-stage antibody-based therapeutics for oncology. (Carter P J, et al., 2022)

Antibody Drug Optimization

Antibody drug optimization refers to the modification of the structure and function of antibody drugs, aiming to improve their affinity, specificity, stability, and pharmacokinetic properties. Optimization strategies include antibody humanization, affinity maturation, Fc engineering, and glycosylation modification, to enhance the safety, efficacy, and developability of antibodies. Through computational-aided design and artificial intelligence technologies, it is possible to optimize the binding affinity and reduce immunogenicity of antibodies, which helps their application in areas such as cancer treatment, autoimmune diseases, and infectious diseases.

Fig 2. Antibody engineering for better efficacy and functional properties. (Kim J, et al., 2023)

Our Services

At CD ComputaBio, we are dedicated to empowering your antibody drug development through our antibody drug optimization services. Leveraging the power of computational biology, we help you refine and enhance your antibody candidates for superior efficacy, safety, and developability.

Methods for Antibody Drug Optimization

• Computational-based Methods

CD ComputaBio employs molecular docking, molecular dynamics, and free energy calculations to simulate antibody-target interactions, optimizing structural parameters such as CDR loop conformations and Fc domain stability. Technologies like homology modeling and alchemical perturbation refine binding affinity, selectivity, and developability profiles through physics-based simulations.

• Artificial Intelligence-based Methods

Integrating deep learning (e.g., AlphaFold for epitope prediction) and generative models, we design humanized variants and de novo antibody scaffolds. Reinforcement learning prioritizes candidates with optimal immunogenicity, stability, and functionality by analyzing sequence-structure-activity relationships in high-dimensional data space.

CD ComputaBio is dedicated to driving innovation and progress in antibody drug development through computational biology technologies. If you are interested in our antibody drug optimization services, please feel free to contact us at any time. Our team will provide you with detailed consultation and professional support.

References:

1. Carter, P J.; Rajpal, A. Designing antibodies as therapeutics[J]. Cell. 2022, 185(15): 2789-2805.
2. Kim, J.; et al. Computational and artificial intelligence-based methods for antibody development[J]. Trends in pharmacological sciences. 2023, 44(3): 175-189.

• Drug Modification Simulation Service
• PROTAC Structure Modification Service