Development and Application of Computational Methods in Antigen Recognition
A special issue of Molecules (ISSN 1420-3049). This special issue belongs to the section "Computational and Theoretical Chemistry".
Deadline for manuscript submissions: closed (31 July 2023) | Viewed by 5233
Special Issue Editors
Interests: AI-driven drug discovery; pharmaceutical biotechnology; pharmacogenomics; neoantigen; computational biology
Special Issue Information
Dear Colleagues,
Antigens recognized by antibodies or T-cell receptors (TCRs) are the key targets of immunotherapy for both cancers and infectious diseases. For example, the design of neoantigen-based vaccines, which has shown a good therapeutic effect in cancer personalized therapy, depends on the accurate identification of tumor neoantigens to a great extent. For infectious diseases, such as COVID-19, the antigenic drift caused by virus mutation is an important factor that reduces the protective effect of vaccine and neutralizing antibodies.
With the development of immunoinformatics and immunogenomics, computational methods such as artificial-intelligence-based methods can play important roles in antigen recognition and vaccine design.
In this Special Issue, we welcome the submission of original research papers, review articles, mini-reviews, and methods papers presenting the development and application of computational methods in antigen recognition. Relevant topics of interest to this Special Issue include (but are not limited to):
- Recognition of B-cell epitopes;
- Recognition of T-cell epitopes;
- Cancer neoantigen prediction;
- Computational vaccine design;
- Computational modeling of antigen recognition;
- Computational modeling of antigen–antibody interaction;
- Computational modeling of antigen–TCRs interaction.
Dr. Zhan Zhou
Dr. JingCheng Wu
Guest Editors
Manuscript Submission Information
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Keywords
- antigen recognition
- protein–protein interaction
- vaccine
- immune epitope
- antibody
- T-cell receptor
- artificial intelligence
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