Tumor neoantigens: building a framework for personalized cancer immunotherapy

MM Gubin, MN Artyomov, ER Mardis… - The Journal of …, 2015 - Am Soc Clin Investig
It is now well established that the immune system can recognize developing cancers and
that therapeutic manipulation of immunity can induce tumor regression. The capacity to …

Peptide vaccine: progress and challenges

W Li, MD Joshi, S Singhania, KH Ramsey, AK Murthy - Vaccines, 2014 - mdpi.com
Conventional vaccine strategies have been highly efficacious for several decades in
reducing mortality and morbidity due to infectious diseases. The bane of conventional …

Systematic identification of personal tumor-specific neoantigens in chronic lymphocytic leukemia

M Rajasagi, SA Shukla, EF Fritsch… - Blood, The Journal …, 2014 - ashpublications.org
Genome sequencing has revealed a large number of shared and personal somatic
mutations across human cancers. In principle, any genetic alteration affecting a protein …

Computational immunology meets bioinformatics: the use of prediction tools for molecular binding in the simulation of the immune system

N Rapin, O Lund, M Bernaschi, F Castiglione - PloS one, 2010 - journals.plos.org
We present a new approach to the study of the immune system that combines techniques of
systems biology with information provided by data-driven prediction methods. To this end …

Peptide binding predictions for HLA DR, DP and DQ molecules

P Wang, J Sidney, Y Kim, A Sette, O Lund, M Nielsen… - BMC …, 2010 - Springer
Background MHC class II binding predictions are widely used to identify epitope candidates
in infectious agents, allergens, cancer and autoantigens. The vast majority of prediction …

Reverse vaccinology: developing vaccines in the era of genomics

A Sette, R Rappuoli - Immunity, 2010 - cell.com
The sequence of microbial genomes made all potential antigens of each pathogen available
for vaccine development. This increased by orders of magnitude potential vaccine targets in …

A comprehensive review and performance evaluation of bioinformatics tools for HLA class I peptide-binding prediction

S Mei, F Li, A Leier, TT Marquez-Lago… - Briefings in …, 2020 - academic.oup.com
Human leukocyte antigen class I (HLA-I) molecules are encoded by major histocompatibility
complex (MHC) class I loci in humans. The binding and interaction between HLA-I …

NetMHCcons: a consensus method for the major histocompatibility complex class I predictions

E Karosiene, C Lundegaard, O Lund, M Nielsen - Immunogenetics, 2012 - Springer
A key role in cell-mediated immunity is dedicated to the major histocompatibility complex
(MHC) molecules that bind peptides for presentation on the cell surface. Several in silico …

The length distribution of class I–restricted T cell epitopes is determined by both peptide supply and MHC allele–specific binding preference

T Trolle, CP McMurtrey, J Sidney, W Bardet… - The Journal of …, 2016 - journals.aai.org
HLA class I–binding predictions are widely used to identify candidate peptide targets of
human CD8+ T cell responses. Many such approaches focus exclusively on a limited range …

Immunoinformatics and epitope prediction in the age of genomic medicine

L Backert, O Kohlbacher - Genome medicine, 2015 - Springer
Immunoinformatics involves the application of computational methods to immunological
problems. Prediction of B-and T-cell epitopes has long been the focus of immunoinformatics …