In this manuscript, the authors describe a new AlphaFold2 pipeline called PabFold that can represent a useful tool for identifying linear antibody epitopes (B-cell epitopes) for different antigens.

Epitope-based, high-precision, serology assays hold potential to capture the high specificity and diversity of the immune system, hence circumventing the cross-reactivity with closely related ...

This study introduces MUNIS, a deep learning tool that enhances T cell epitope prediction, crucial for accelerating vaccine ...

The affinity constants were determined using a 1:1 binding model using the BIACORE evaluation T200 software (GE Healthcare). Epitope mapping of Clec4F nanobodies was also investigated by SPR. Because ...

Using a curated dataset of over 650,000 unique human leukocyte antigen (HLA) ligands and cutting-edge AI architectures, MUNIS significantly outperformed existing epitope prediction models.

A technique the lab invented, known as Electron Microscopy-Based Polyclonal Epitope Mapping, or EMPEM, let the researchers see exactly where on the virus antibodies bind. When they carried out the ...

Objects Although the association of cigarette smoking (CS) with susceptibility to rheumatoid arthritis (RA) has been established, the impact of CS on anticitrullinated cyclic peptide/protein antibody ...

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We constructed miniaturized autoantigen arrays to perform large-scale multiplex characterization of autoantibody responses directed against structurally diverse autoantigens, using submicroliter ...

一个还算强大的Web思维导图。A relatively powerful web mind map.

More recently, artificial intelligence (AI) and machine learning approaches have been suggested. AI could be useful for screening methods such as epitope/paratope mapping to predict the areas of the ...