Tumor neoantigens: from basic research to clinical applications
T Jiang, T Shi, H Zhang, J Hu, Y Song, J Wei… - Journal of hematology & …, 2019 - Springer
Tumor neoantigen is the truly foreign protein and entirely absent from normal human
organs/tissues. It could be specifically recognized by neoantigen-specific T cell receptors …
organs/tissues. It could be specifically recognized by neoantigen-specific T cell receptors …
Fundamentals and methods for T‐and B‐cell epitope prediction
JL Sanchez-Trincado… - Journal of …, 2017 - Wiley Online Library
Adaptive immunity is mediated by T‐and B‐cells, which are immune cells capable of
developing pathogen‐specific memory that confers immunological protection. Memory and …
developing pathogen‐specific memory that confers immunological protection. Memory and …
RCSB Protein Data Bank (RCSB. org): delivery of experimentally-determined PDB structures alongside one million computed structure models of proteins from …
Abstract The Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB
PDB), founding member of the Worldwide Protein Data Bank (wwPDB), is the US data center …
PDB), founding member of the Worldwide Protein Data Bank (wwPDB), is the US data center …
Multi-omic machine learning predictor of breast cancer therapy response
Breast cancers are complex ecosystems of malignant cells and the tumour
microenvironment. The composition of these tumour ecosystems and interactions within …
microenvironment. The composition of these tumour ecosystems and interactions within …
[HTML][HTML] SARS-CoV-2-derived peptides define heterologous and COVID-19-induced T cell recognition
T cell immunity is central for the control of viral infections. To characterize T cell immunity,
but also for the development of vaccines, identification of exact viral T cell epitopes is …
but also for the development of vaccines, identification of exact viral T cell epitopes is …
The immune epitope database (IEDB): 2018 update
Abstract The Immune Epitope Database (IEDB, iedb. org) captures experimental data
confined in figures, text and tables of the scientific literature, making it freely available and …
confined in figures, text and tables of the scientific literature, making it freely available and …
MSBooster: improving peptide identification rates using deep learning-based features
Peptide identification in liquid chromatography-tandem mass spectrometry (LC-MS/MS)
experiments relies on computational algorithms for matching acquired MS/MS spectra …
experiments relies on computational algorithms for matching acquired MS/MS spectra …
A large peptidome dataset improves HLA class I epitope prediction across most of the human population
Prediction of HLA epitopes is important for the development of cancer immunotherapies and
vaccines. However, current prediction algorithms have limited predictive power, in part …
vaccines. However, current prediction algorithms have limited predictive power, in part …
NetMHCpan-4.0: improved peptide–MHC class I interaction predictions integrating eluted ligand and peptide binding affinity data
Cytotoxic T cells are of central importance in the immune system's response to disease.
They recognize defective cells by binding to peptides presented on the cell surface by MHC …
They recognize defective cells by binding to peptides presented on the cell surface by MHC …
Improved methods for predicting peptide binding affinity to MHC class II molecules
Major histocompatibility complex class II (MHC‐II) molecules are expressed on the surface
of professional antigen‐presenting cells where they display peptides to T helper cells, which …
of professional antigen‐presenting cells where they display peptides to T helper cells, which …