Results 31 to 40 of about 552,242 (397)

BepiPred-2.0: improving sequence-based B-cell epitope prediction using conformational epitopes

open access: yesNucleic Acids Res., 2017
Antibodies have become an indispensable tool for many biotechnological and clinical applications. They bind their molecular target (antigen) by recognizing a portion of its structure (epitope) in a highly specific manner.
M. C. Jespersen   +3 more
semanticscholar   +1 more source

Epitope Tagging [PDF]

open access: yesBioTechniques, 2008
Epitope tagging is widely used in the characterization of newly discovered proteins. This review presents an overview of how the technique evolved and how it is being used today, with a focus on its use in the study of protein-protein interactions. In addition, the evolution of the technique for proteomic analyses is described.
openaire   +3 more sources

A Supercluster of Neutralizing Epitopes at the Interface of Ricin’s Enzymatic (RTA) and Binding (RTB) Subunits

open access: yesToxins, 2017
As part of an effort to engineer ricin antitoxins and immunotherapies, we previously produced and characterized a collection of phage-displayed, heavy chain-only antibodies (VHHs) from alpacas that had been immunized with ricin antigens.
Amanda Y. Poon   +4 more
doaj   +1 more source

Review of Immunoinformatic approaches to in-silico B-cell epitope prediction [PDF]

open access: yes, 2007
In this paper, the current state of in-silico, B-cell epitope prediction is discussed. Recommendations for improving some of the approaches encountered are outlined, along with the presentation of an entirely novel technique, which uses molecular ...
Rick Reitmaier
core   +2 more sources

An in silico deep learning approach to multi-epitope vaccine design: a SARS-CoV-2 case study

open access: yesScientific Reports, 2020
The rampant spread of COVID-19, an infectious disease caused by SARS-CoV-2, all over the world has led to over millions of deaths, and devastated the social, financial and political entities around the world. Without an existing effective medical therapy,
Zikun Yang, P. Bogdan, Shahin Nazarian
semanticscholar   +1 more source

Selection of neutralizing antibody escape mutants with type A influenza virus HA-specific polyclonal antisera: possible significance for antigenic drift [PDF]

open access: yes, 1997
Ten antisera were produced in rabbits by two or three intravenous injections of inactivated whole influenza type A virions. All contained haemagglutination-inhibition (HI) antibody directed predominantly to an epitope in antigenic site B and, in addition,
Cleveland, S. Matthew   +2 more
core   +2 more sources

Epitope spreading

open access: yesCurrent Opinion in Immunology, 1996
Epitope (determinant) spreading is the development of immune responses to endogenous epitopes secondary to the release of self antigens during a chronic autoimmune or inflammatory response. The past year has seen considerable advances in our understanding of the contribution of epitope spreading to the chronic pathogenesis of experimental T-cell ...
Vanderlugt, Carol J, Miller, Stephen D
openaire   +2 more sources

Thermal and Acidic Treatments of Gluten Epitopes Affect Their Recognition by HLA-DQ2 in silico

open access: yesFrontiers in Nutrition, 2021
Celiac disease (CD) is a prevalent disorder with autoimmune features. Dietary exposure of wheat gluten (including gliadins and glutenins) to the small intestine activates the gluten-reactive CD4+ T cells and controls the disease development.
Jihui Gao   +13 more
doaj   +1 more source

Epitope Mapping [PDF]

open access: yesBioDrugs, 2007
Antibodies are an effective line of defense in preventing infectious diseases. Highly potent neutralizing antibodies can intercept a virus before it attaches to its target cell and, thus, inactivate it. This ability is based on the antibodies' specific recognition of epitopes, the sites of the antigen to which antibodies bind.
Yael Weiss   +4 more
openaire   +2 more sources

Critical review of conformational B-cell epitope prediction methods [PDF]

open access: yesBriefings 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

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