[HTML][HTML] State of the art and challenges in sequence based T-cell epitope prediction

C Lundegaard, I Hoof, O Lund, M Nielsen - Immunome Research, 2010 - Springer
Sequence based T-cell epitope predictions have improved immensely in the last decade.
From predictions of peptide binding to major histocompatibility complex molecules with …

Prediction of immunogenicity of therapeutic proteins: validity of computational tools

CJ Bryson, TD Jones, MP Baker - BioDrugs, 2010 - Springer
Most protein therapeutics have the potential to induce undesirable immune responses in
patients. Many patients develop anti-therapeutic antibodies, which can affect the safety and …

Immunoinformatics: a brief review

N Tomar, RK De - Immunoinformatics, 2014 - Springer
A large volume of data relevant to immunology research has accumulated due to
sequencing of genomes of the human and other model organisms. At the same time, huge …

Machine learning methods for predicting HLA-peptide binding activity

H Luo, H Ye, HW Ng, L Shi, W Tong… - … and biology insights, 2015 - journals.sagepub.com
As major histocompatibility complexes in humans, the human leukocyte antigens (HLAs)
have important functions to present antigen peptides onto T-cell receptors for immunological …

Methods and protocols for prediction of immunogenic epitopes

JC Tong, TW Tan, S Ranganathan - Briefings in Bioinformatics, 2007 - academic.oup.com
T-cell recognition of peptide/major histocompatibility complex (MHC) is a prerequisite for
cellular immunity. Recently, there has been an influx of bioinformatics tools to facilitate the …

Efficient peptide–MHC-I binding prediction for alleles with few known binders

L Jacob, JP Vert - Bioinformatics, 2008 - academic.oup.com
Motivation: In silico methods for the prediction of antigenic peptides binding to MHC class I
molecules play an increasingly important role in the identification of T-cell epitopes …

[HTML][HTML] SVRMHC prediction server for MHC-binding peptides

J Wan, W Liu, Q Xu, Y Ren, DR Flower, T Li - BMC bioinformatics, 2006 - Springer
Background The binding between antigenic peptides (epitopes) and the MHC molecule is a
key step in the cellular immune response. Accurate in silico prediction of epitope-MHC …

Immunogenicity screening in protein drug development

I Van Walle, Y Gansemans, PWHI Parren… - Expert opinion on …, 2007 - Taylor & Francis
Most therapeutic proteins in clinical trials or on the market are, to a variable extent,
immunogenic. Formation of antidrug antibodies poses a risk that should be assessed during …

Analysis of HLA A* 02 association with vaccine efficacy in the RV144 HIV-1 vaccine trial

AJ Gartland, S Li, J McNevin, GD Tomaras… - Journal of …, 2014 - Am Soc Microbiol
The RV144 HIV-1 vaccine trial demonstrated partial efficacy of 31% against HIV-1 infection.
Studies into possible correlates of protection found that antibodies specific to the V1 and V2 …

Pan-specific MHC class I predictors: a benchmark of HLA class I pan-specific prediction methods

H Zhang, C Lundegaard, M Nielsen - Bioinformatics, 2009 - academic.oup.com
Motivation: MHC: peptide binding plays a central role in activating the immune surveillance.
Computational approaches to determine T-cell epitopes restricted to any given major …