[HTML][HTML] An overview of bioinformatics tools for epitope prediction: implications on vaccine development
Exploitation of recombinant DNA and sequencing technologies has led to a new concept in
vaccination in which isolated epitopes, capable of stimulating a specific immune response …
vaccination in which isolated epitopes, capable of stimulating a specific immune response …
MHC ligands and peptide motifs: first listing
The purpose of this article is to provide a compendium of major histocompatibility complex
(MHC) peptide motifs and MHC ligands known to date, together with a discussion of the …
(MHC) peptide motifs and MHC ligands known to date, together with a discussion of the …
Selective glutamine metabolism inhibition in tumor cells improves antitumor T lymphocyte activity in triple-negative breast cancer
Rapidly proliferating tumor and immune cells need metabolic programs that support energy
and biomass production. The amino acid glutamine is consumed by effector T cells and …
and biomass production. The amino acid glutamine is consumed by effector T cells and …
Dendrimer-RNA nanoparticles generate protective immunity against lethal Ebola, H1N1 influenza, and Toxoplasma gondii challenges with a single dose
Vaccines have had broad medical impact, but existing vaccine technologies and production
methods are limited in their ability to respond rapidly to evolving and emerging pathogens …
methods are limited in their ability to respond rapidly to evolving and emerging pathogens …
Modulation of microenvironment acidity reverses anergy in human and murine tumor-infiltrating T lymphocytes
A Calcinotto, P Filipazzi, M Grioni, M Iero, A De Milito… - Cancer research, 2012 - AACR
Stimulating the effector functions of tumor-infiltrating T lymphocytes (TIL) in primary and
metastatic tumors could improve active and adoptive T-cell therapies for cancer. Abnormal …
metastatic tumors could improve active and adoptive T-cell therapies for cancer. Abnormal …
Reliable prediction of T‐cell epitopes using neural networks with novel sequence representations
In this paper we describe an improved neural network method to predict T‐cell class I
epitopes. A novel input representation has been developed consisting of a combination of …
epitopes. A novel input representation has been developed consisting of a combination of …
Development of a cancer vaccine using in vivo click‐chemistry‐mediated active lymph node accumulation for improved immunotherapy
Due to their ability to elicit a potent immune reaction with low systemic toxicity, cancer
vaccines represent a promising strategy for treating tumors. Considerable effort has been …
vaccines represent a promising strategy for treating tumors. Considerable effort has been …
Dendritic cells pulsed with RNA are potent antigen-presenting cells in vitro and in vivo.
D Boczkowski, SK Nair, D Snyder… - The Journal of …, 1996 - rupress.org
Immunization with defined tumor antigens is currently limited to a small number of cancers
where candidates for tumor rejection antigens have been identified. In this study we …
where candidates for tumor rejection antigens have been identified. In this study we …
Computational prediction of proteotypic peptides for quantitative proteomics
Mass spectrometry–based quantitative proteomics has become an important component of
biological and clinical research. Although such analyses typically assume that a protein's …
biological and clinical research. Although such analyses typically assume that a protein's …
Vaxign: the first web‐based vaccine design program for reverse vaccinology and applications for vaccine development
Vaxign is the first web‐based vaccine design system that predicts vaccine targets based on
genome sequences using the strategy of reverse vaccinology. Predicted features in the …
genome sequences using the strategy of reverse vaccinology. Predicted features in the …