Identifying neoantigens for use in immunotherapy

S Hutchison, AL Pritchard - Mammalian Genome, 2018 - Springer
This review focuses on the types of cancer antigens that can be recognised by the immune
system and form due to alterations in the cancer genome, including cancer testis …

NN-align. An artificial neural network-based alignment algorithm for MHC class II peptide binding prediction

M Nielsen, O Lund - BMC bioinformatics, 2009 - Springer
Background The major histocompatibility complex (MHC) molecule plays a central role in
controlling the adaptive immune response to infections. MHC class I molecules present …

Major histocompatibility complex linked databases and prediction tools for designing vaccines

SP Singh, BN Mishra - Human immunology, 2016 - Elsevier
Presently, the major histocompatibility complex (MHC) is receiving considerable interest
owing to its remarkable role in antigen presentation and vaccine design. The specific …

TAA polyepitope DNA‐based vaccines: A potential tool for cancer therapy

R Bei, A Scardino - BioMed Research International, 2010 - Wiley Online Library
DNA‐based cancer vaccines represent an attractive strategy for inducing immunity to tumor
associated antigens (TAAs) in cancer patients. The demonstration that the delivery of a …

Dana-Farber repository for machine learning in immunology

GL Zhang, HH Lin, DB Keskin, EL Reinherz… - Journal of immunological …, 2011 - Elsevier
The immune system is characterized by high combinatorial complexity that necessitates the
use of specialized computational tools for analysis of immunological data. Machine learning …

Computational characterization of Plasmodium falciparum proteomic data for screening of potential vaccine candidates

SP Singh, F Khan, BN Mishra - Human immunology, 2010 - Elsevier
Advancement in the field of proteomics and bioinformatics offers tremendous opportunities
for the development of novel epitope-based effective vaccine against human malaria. In this …

Targeting neoantigens for personalised immunotherapy

AL Pritchard - BioDrugs, 2018 - Springer
This review discusses the rapidly evolving field of immunotherapy research, focusing on the
types of cancer antigens that can be recognised by the immune system and potential …

Improved prediction of MHC class I binders/non-binders peptides through artificial neural network using variable learning rate: SARS corona virus, a case study

SS Soam, B Bhasker, BN Mishra - Software Tools and Algorithms for …, 2011 - Springer
Fundamental step of an adaptive immune response to pathogen or vaccine is the binding of
short peptides (also called epitopes) to major histocompatibility complex (MHC) molecules …

Computational screening and characterization of putative vaccine candidates of Plasmodium vivax

Y Nanda Kumar, G Jeyakodi… - Journal of …, 2016 - Taylor & Francis
Plasmodium vivax is the most prevalent species of malaria affecting millions of people
annually worldwide and demands effective interventions to develop a successful vaccine. In …

Modern Developments in Short Peptide Viral Vaccine Design

C Nilofer, M Arumugam, P Kangueane - Global Virology III: Virology in the …, 2019 - Springer
Vaccine design and development against viral diseases is multifaceted. Classical vaccines
(live-attenuated vaccines, inactivated vaccines, subunit, recombinant, polysaccharide …