Critical review of conformational B-cell epitope prediction methods [PDF]
Briefings in Bioinformatics, bbac567, 1-9, 2023, 2023 Accurate in-silico prediction of conformational B-cell epitopes would lead to major improvements in disease diagnostics, drug design and vaccine development. A variety of computational methods, mainly based on machine learning approaches, have been developed in the last decades to tackle this challenging problem.
arxiv +1 more source
CD4+ T-cell responses to Epstein-Barr virus nuclear antigen EBNA1 in Chinese populations are highly focused on novel C-terminal domain-derived epitopes [PDF]
, 2006 Epstein-Barr virus nuclear antigen EBNA1, the one viral protein uniformly expressed in nasopharyngeal carcinoma (NPC), represents a prime target for T-cell-based immunotherapy. However, little is known about the EBNA1 epitopes, particularly CD4 epitopes,
Chan, A. T. C. +8 more
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Finding Epitopes with Computers
Chemistry & Biology, 2013 The goal of structural vaccinology is to enable the design and engineering of improved antigens. In a recent issue of Chemistry & Biology, Gourlay and colleagues provided evidence that structure-based computational methods allow prediction of B cell epitopes, a crucial step for antigen selection and optimization in vaccine development.
Rino Rappuoli, Enrico Malito
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Celiac Immunogenic Potential of α-Gliadin Epitope Variants from Triticum and Aegilops Species [PDF]
, 2019 The high global demand of wheat and its subsequent consumption arise from the physicochemical properties of bread dough and its contribution to the protein intake in the human diet.
Barro Losada, Francisco +8 more
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Journal of Pharmacological Sciences, 2007 The prevailing methods to predict T-cell epitopes are reviewed. Motif matching, matrix, support vector machine (SVM), and empirical scoring function methods are mainly reviewed; and the thermodynamic integration (TI) method using all-atom molecular dynamics (MD) simulation is mentioned briefly.
Takuya Takahashi, Hiromichi Tsurui
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Structure and pathogenicity of antibodies specific for citrullinated collagen type II in experimental arthritis [PDF]
, 2009 Antibodies to citrulline-modifi ed proteins have a high diagnostic value in rheumatoid arthritis (RA). However, their biological role in disease development is still unclear.
Aho +69 more
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Immunoinformatic analysis of glycoprotein from bovine ephemeral fever virus
Biomedical and Biotechnology Research Journal, 2018 Background: Bovine ephemeral fever virus (BEFV) is an arthropod-borne virus that is highly infective for cattle and water buffalo. The infection has important economic losses and is common in tropical and subtropical regions.
Mehran Bakhshesh +2 more
doaj +1 more source
Influenza Evolution and H3N2 Vaccine Effectiveness, with Application to the 2014/2015 Season [PDF]
, 2016 Influenza A is a serious disease that causes significant morbidity and mortality, and vaccines against the seasonal influenza disease are of variable effectiveness.
Deem, Michael W., Li, Xi
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Predicting the effectiveness of hepatitis C virus neutralizing antibodies by bioinformatic analysis of conserved epitope residues using public sequence data [PDF]
, 2018 Hepatitis C virus (HCV) is a global health issue. Although direct-acting antivirals are available to target HCV, there is currently no vaccine. The diversity of the virus is a major obstacle to HCV vaccine development. One approach toward a vaccine is to
Cowton, Vanessa M. +3 more
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Microorganisms, 2019 The Zika virus disease, also known as Zika fever is an arboviral disease that became epidemic in the Pacific Islands and had spread to 18 territories of the Americas in 2016.
Vivitri Dewi Prasasty +5 more
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