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In the benchmarking study, LENSai’s in silico epitope mapping application was tested across five known antibody-antigen pairs and against multiple experimental techniques, including HDX-MS ...

is pleased to announce today new benchmarking results that validate the accuracy and utility of its in silico epitope mapping application, part of the LENS ai ™ platform, with a direct ...

qBureau of International Health Cooperation, National Center for Global Health and Medicine, Tokyo, Japan rCenter for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan ...

This valuable manuscript aims to delineate the epitope specificity in a panel of anti-amyloid-beta antibodies, including some with clinical relevance. The experiments were rigorously conducted, ...

Center of Environmental Implications of Nanotechnology (UC CEIN) and California NanoSystems Institute, University of California, Los Angeles, California 90095, United States ...

Furthermore, it integrates data on antibody developability and antigen-drug target relationships, making it valuable for assisting new antibody therapies development. Notably, the database includes ...

Add a description, image, and links to the epitope-prediction topic page so that developers can more easily learn about it.

Additionally, certain tumor antigens, or molecules that immune cells recognize as threats, disappeared from the cancer cells. This may have allowed the tumors to escape immune detection.

These therapies involve programming the T-cell receptor (TCR) of T cells to recognize a specific peptide, or antigen, found on tumor cells. There are many efforts underway to identify the most ...

Results: Among the 27 reviews, traditional machine learning approaches—random forests, support vector machines, gradient boosting, and logistic regression—dominated tasks from antigen discovery and ...