[HTML][HTML] Can we predict T cell specificity with digital biology and machine learning?

D Hudson, RA Fernandes, M Basham, G Ogg… - Nature Reviews …, 2023 - nature.com
Recent advances in machine learning and experimental biology have offered breakthrough
solutions to problems such as protein structure prediction that were long thought to be …

Can AlphaFold's breakthrough in protein structure help decode the fundamental principles of adaptive cellular immunity?

B McMaster, C Thorpe, G Ogg, CM Deane, H Koohy - Nature Methods, 2024 - nature.com
T cells are essential immune cells responsible for identifying and eliminating pathogens.
Through interactions between their T-cell antigen receptors (TCRs) and antigens presented …

[HTML][HTML] A common allele of HLA is associated with asymptomatic SARS-CoV-2 infection

DG Augusto, LD Murdolo, DSM Chatzileontiadou… - Nature, 2023 - nature.com
Studies have demonstrated that at least 20% of individuals infected with SARS-CoV-2
remain asymptomatic,,–. Although most global efforts have focused on severe illness in …

Structural and physical features that distinguish tumor-controlling from inactive cancer neoepitopes

JM Custodio, CM Ayres, TJ Rosales… - Proceedings of the …, 2023 - National Acad Sciences
Neoepitopes arising from amino acid substitutions due to single nucleotide polymorphisms
are targets of T cell immune responses to cancer and are of significant interest in the …

A transfer-learning approach to predict antigen immunogenicity and T-cell receptor specificity

B Bravi, A Di Gioacchino, J Fernandez-de-Cossio-Diaz… - ELife, 2023 - elifesciences.org
Antigen immunogenicity and the specificity of binding of T-cell receptors to antigens are key
properties underlying effective immune responses. Here we propose diffRBM, an approach …

Human T cells recognize HLA-DP–bound peptides in two orientations

S Klobuch, JJ Lim, P van Balen… - Proceedings of the …, 2022 - National Acad Sciences
Human leukocyte antigen (HLA) molecules present small peptide antigens to T cells,
thereby allowing them to recognize pathogen-infected and cancer cells. A central dogma …

[HTML][HTML] HLA-A*11:01-restricted CD8+ T cell immunity against influenza A and influenza B viruses in Indigenous and non-Indigenous people

JR Habel, AT Nguyen, LC Rowntree, C Szeto… - PLoS …, 2022 - journals.plos.org
HLA-A* 11: 01 is one of the most prevalent human leukocyte antigens (HLAs), especially in
East Asian and Oceanian populations. It is also highly expressed in Indigenous people who …

[HTML][HTML] HLA3DB: comprehensive annotation of peptide/HLA complexes enables blind structure prediction of T cell epitopes

S Gupta, S Nerli, S Kutti Kandy, GL Mersky… - Nature …, 2023 - nature.com
The class I proteins of the major histocompatibility complex (MHC-I) display epitopic
peptides derived from endogenous proteins on the cell surface for immune surveillance …

[HTML][HTML] Improvement in neoantigen prediction via integration of RNA sequencing data for variant calling

BQT Nguyen, TPD Tran, HT Nguyen… - Frontiers in …, 2023 - frontiersin.org
Introduction Neoantigen-based immunotherapy has emerged as a promising strategy for
improving the life expectancy of cancer patients. This therapeutic approach heavily relies on …

DeepMHCI: an anchor position-aware deep interaction model for accurate MHC-I peptide binding affinity prediction

W Qu, R You, H Mamitsuka, S Zhu - Bioinformatics, 2023 - academic.oup.com
Motivation Computationally predicting major histocompatibility complex class I (MHC-I)
peptide binding affinity is an important problem in immunological bioinformatics, which is …