[HTML][HTML] State of the art and challenges in sequence based T-cell epitope prediction
Sequence based T-cell epitope predictions have improved immensely in the last decade.
From predictions of peptide binding to major histocompatibility complex molecules with …
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 …
patients. Many patients develop anti-therapeutic antibodies, which can affect the safety and …
Machine learning methods for predicting HLA-peptide binding activity
As major histocompatibility complexes in humans, the human leukocyte antigens (HLAs)
have important functions to present antigen peptides onto T-cell receptors for immunological …
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 …
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
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 …
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 …
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 …
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
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 …
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 …
Computational approaches to determine T-cell epitopes restricted to any given major …