Monoclonal Antibody Design Services
Monoclonal antibodies are a milestone in the advancement of modern medicine. Computer-aided design methods have many advantages over traditional experimental methods, such as saving time and effort. CD ComputaBio's monoclonal antibody design service uses advanced computer-aided design technology to provide you with a one-stop solution to meet your R&D goals.
Introduction to Monoclonal Antibody and its Design
Monoclonal antibodies are antibodies produced by identical immune cells that are clones of a unique parent cell and are widely used in research, diagnosis, and therapy because they are highly specific for a particular antigen. Monoclonal antibodies can have monovalent affinity and bind only to the same epitope (the part of the antigen that the antibody recognizes). Computational antibody design is essential for drug discovery. Computational tools can be used to predict antigen-antibody interactions at the molecular level. This approach has accelerated the discovery of new therapeutic antibodies and improved the quality of diagnostic tests.
Figure 1. Monoclonal Antibody Design. (Trkulja C L, et al., 2021)
Our Services
CD ComputaBio provides professional monoclonal antibody design services. During the monoclonal antibody design process, we provide services including monoclonal antibody structure design and monoclonal antibody functional structure design. These services constitute a comprehensive workflow to promote monoclonal antibody innovation and optimization. Let's explore each basic service in detail.
Structural Design of Monoclonal Antibodies
Advanced antibody modeling technology is used to design the structure of monoclonal antibodies. Our computational tools are able to predict the three-dimensional structure of antibodies based on the known target antigen structure. By analyzing the antigen binding site, the variable region of the antibody can be optimized to ensure high affinity of the antibody.
Functional Design of Monoclonal Antibodies
Computational approaches is used to engineer the functionality of monoclonal antibodies. Computational analysis allows us to modify the Fc region of an antibody to achieve the desired functional outcome. For example, we can engineer antibodies with reduced Fc-mediated effector function for applications that require minimal immune activation, such as certain diagnostic assays.
Workflow of Antibody De Novo Design
Target Definition: Identify target antigens related to the research objectives, investigate their biological functions, collect information from literature and databases and confirm with customers.
In Silico Design: Analyze antigen structure using our modeling software and design antibody variable regions through docking simulations.
Design Optimization: The computational results are used to optimize antibody design, with the main goal of enhancing affinity and specificity, and predicting and adjusting antibody function.
Result Analysis: A comprehensive analysis will be performed to analysis the results of the optimized antibodies, mainly evaluating the structural stability and functional prediction.
Methods of Monoclonal Antibody Design
Monoclonal antibody design service is a powerful and versatile method that plays a vital role in multiple fields. We provide the following advanced methods to support our monoclonal antibody design service:
CD ComputaBio strives to provide state-of-the-art computer-aided monoclonal antibody design service. With rich experience, advanced algorithms, and comprehensive services, we are committed to being your trusted partner to help you unravel the mysteries of antibody structure and function. If you're interest about our monoclonal antibody design for your research or development project, we invite you to reach out to CD ComputaBio.
Reference:
- Trkulja C L, Jungholm O, Davidson M, et al. Rational antibody design for undruggable targets using kinetically controlled biomolecular probes. Science Advances, 2021, 7(16): eabe6397.
* For Research Use Only.
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