AIMC Topic: Epitopes
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Integrating machine learning to advance epitope mapping.
Frontiers in immunology
Sep 30, 2024
Identifying epitopes, or the segments of a protein that bind to antibodies, is critical for the development of a variety of immunotherapeutics and diagnostics. In vaccine design, the intent is to identify the minimal epitope of an antigen that can el...
Machine-learning-assisted high-throughput identification of potent and stable neutralizing antibodies against all four dengue virus serotypes.
Scientific reports
Jul 26, 2024
Several computational methods have been developed to identify neutralizing antibodies (NAbs) covering four dengue virus serotypes (DENV-1 to DENV-4); however, limitations of the dataset and the resulting performance remain. Here, we developed a new c...
Leveraging artificial intelligence in vaccine development: A narrative review.
Journal of microbiological methods
Jul 15, 2024
Vaccine development stands as a cornerstone of public health efforts, pivotal in curbing infectious diseases and reducing global morbidity and mortality. However, traditional vaccine development methods are often time-consuming, costly, and inefficie...
Machine-learning-based structural analysis of interactions between antibodies and antigens.
Bio Systems
Jul 2, 2024
Computational analysis of paratope-epitope interactions between antibodies and their corresponding antigens can facilitate our understanding of the molecular mechanism underlying humoral immunity and boost the design of new therapeutics for many dise...
Prediction of Paratope-Epitope Pairs Using Convolutional Neural Networks.
International journal of molecular sciences
May 16, 2024
Antibodies play a central role in the adaptive immune response of vertebrates through the specific recognition of exogenous or endogenous antigens. The rational design of antibodies has a wide range of biotechnological and medical applications, such ...
Enhancing tuberculosis vaccine development: a deconvolution neural network approach for multi-epitope prediction.
Scientific reports
May 6, 2024
Tuberculosis (TB) a disease caused by Mycobacterium tuberculosis (Mtb) poses a significant threat to human life, and current BCG vaccinations only provide sporadic protection, therefore there is a need for developing efficient vaccines. Numerous immu...
Deep learning predictions of TCR-epitope interactions reveal epitope-specific chains in dual alpha T cells.
Nature communications
Apr 13, 2024
T cells have the ability to eliminate infected and cancer cells and play an essential role in cancer immunotherapy. T cell activation is elicited by the binding of the T cell receptor (TCR) to epitopes displayed on MHC molecules, and the TCR specific...
Reverse engineering protection: A comprehensive survey of reverse vaccinology-based vaccines targeting viral pathogens.
Vaccine
Mar 23, 2024
Vaccines have significantly reduced the impact of numerous deadly viral infections. However, there is an increasing need to expedite vaccine development in light of the recurrent pandemics and epidemics. Also, identifying vaccines against certain vir...
Epitope Identification of an mGlu5 Receptor Nanobody Using Physics-Based Molecular Modeling and Deep Learning Techniques.
Journal of chemical information and modeling
Feb 29, 2024
The world has witnessed a revolution in therapeutics with the development of biological medicines such as antibodies and antibody fragments, notably nanobodies. These nanobodies possess unique characteristics including high specificity and modulatory...
Training of epitope-TCR prediction models with healthy donor-derived cancer-specific T cells.
Methods in cell biology
Sep 15, 2023
Discovery of epitope-specific T-cell receptors (TCRs) for cancer therapies is a time consuming and expensive procedure that usually requires a large amount of patient cells. To maximize information from and minimize the need of precious samples in ca...
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