Correct epitope identification is critical for vaccine development and selection of high-affinity antibodies for immunotherapy and immunodiagnosis. Recognition of B-cell epitopes is an important process in antibody discovery and key to efficient antibody design. With the support of our advanced protein engineering platform established for many years, Creative BioMart has successfully constructed a deep ensemble architecture for B-cell epitope prediction based on antigen sequences. Our scientists provide you with a comprehensive customized B cell epitope prediction service to facilitate B cell epitope recognition, molecules capable of mimicking the structure and function of a real epitope and replacing it in antibody diagnostics and therapeutics.

B-cell epitopes, also known as antigenic determinants, are restricted molecular moieties that are recognized by immunoglobulin molecules (antibodies) as free-form or membrane-bound B-cell receptors. B cell epitopes can be divided into two types: linear epitopes and conformational epitopes according to their spatial structure. Linear epitopes are composed of sequence-contiguous residues, while conformational epitopes are composed of sequence fragments that come together in close proximity in space when the corresponding antigen is folded. Some experimental approaches for B cell epitope identification (protein crystallography, ELISA, and peptide chips) are limited by being expensive, time-consuming, low-throughput, or inaccurate. Several computational methods have been developed to supplement or replace experimental methods for B cell epitope prediction, such as BepiPred, DiscoTope, CBtope and ABCpredB. The identification of B cell epitopes is important for many medical, immunological and biological applications, including disease control, diagnostics, and vaccine development.

Fig 1. B-cell epitope recognition. (Sanchez-Trincado JL, et al., 2017)

Services

Our scientists focus on amino acid properties within sequences (such as hydrophobicity, hydrophilicity, or antigenicity) to identify propensity and patterns to predict B-cell epitopes. Creative BioMart has successfully developed a variety of B cell epitope prediction and analysis tools, replacing antigens for antibody production or structure-function studies. We provide the most comprehensive solution for analyzing the immunogenic properties of potential antibodies and predicting their safety and efficacy in preclinical and clinical use, which is widely used in disease diagnosis, vaccine design, antibody design and immunotherapy. We provide the following services for B cell epitopes:

• Predicting linear B cell epitopes: predicting B cell epitopes using property scale-based methods and machine learning-based methods, which can be easily synthesized and tested for their antibody-binding properties.
• Predicting conformational B cell epitopes: identifing the protein interface residues on the surface of the target protein (antigen) by integrating the information of the antigen structure, including structure-based prediction, mimotope-based prediction and sequence-based prediction. Methods for conformational B-cell epitope prediction often require the 3D structure of the antigen. Conformational B-cell epitopes were identified from the primary sequence of the antigen and characterized for physicochemical and sequence-derived features of the conformational B-cell epitopes.

In addition, we identify B cell epitopes by different methods, including solving the 3D structure of antigen-antibody complexes, screening antibody-bound peptide libraries, or performing functional assays.

Service Principle

Creative BioMart is based on innovative, pragmatic and honest, adhering to the tenet of "Quality is our life, providing customers with the best quality service", providing customized services to customers around the world.

We will be glad to discuss details of intended interaction studies with you and develop experimental strategies/methods tailored to your requirement. Our customer service representatives are enthusiastic and trustworthy 24 hours a day, Monday to Friday. If you are interested in our services, please do not hesitate to contact us for more information or to discuss in detail.

References

1. Sun P, Yu Y, Wang R, et al.. (2019) B-cell Epitope prediction method based on deep ensemble architecture and sequences[C]. IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2019: 94-97.
2. Sanchez-Trincado JL, Gomez-Perosanz M, Reche PA. (2017) Fundamentals and Methods for T- and B-Cell Epitope Prediction. J Immunol Res. 2017:2680160.

• Ion Channel Modeling Service
• Molecular Dynamics Simulation of RNA Systems
• T Cell Epitope Prediction Service
• Therapeutic Protein Folding Recognition Service
• Therapeutic Protein Functional Motion Analysis Service
• Therapeutic Protein Species Assessment Service