Online citations, reference lists, and bibliographies.
← Back to Search

Mapping Epitope Structure And Activity: From One-Dimensional Prediction To Four-Dimensional Description Of Antigenic Specificity

M. V. Regenmortel
Published 1996 · Biology

Save to my Library
Download PDF
Analyze on Scholarcy Visualize in Litmaps
Share
Reduce the time it takes to create your bibliography by a factor of 10 by using the world’s favourite reference manager
Time to take this seriously.
Get Citationsy
Abstract Our knowledge of antigenic specificity has greatly increased in recent years mainly through X-ray crystallographic studies of proteins and peptides complexed with monoclonal antibodies. However, our ability to predict the location of antigenic sites in proteins remains limited partly because prediction algorithms reduce the complexity of epitopes to one-dimensional, linear peptide models. Epitopes and paratopes are relational entities definable by their mutual complementarity and adaptation potential as well as by their activity. A complete account of antigenic specificity demands the integration of both structural and binding activity data that can be achieved only through a spatiotemporal four-dimensional analysis. Failure to include the fourth dimension, i.e., time, in the analysis of antigen–antibody complementarity amounts to considering proteins as rigid bodies and ignores the mutual adaptation that occurs when the two partners interact. Reducing four-dimensional protein systems to three-dimensional or two-dimensional representations inevitably distorts our perception of the dynamic nature of epitopes.



This paper is referenced by
10.1007/978-3-030-55482-8_19
Reducing Allergenicity by Proteolysis
K. L. Bøgh (2021)
10.1016/j.jbi.2020.103498
Exploring HCV genome to construct multi-epitope based subunit vaccine to battle HCV infection: Immunoinformatics based approach
Hina Khalid (2020)
10.1101/2020.02.28.970343
Designing of a next generation multiepitope based vaccine (MEV) against SARS-COV-2: Immunoinformatics and in silico approaches
Muhammad Tahir ul Qamar (2020)
10.24287/1726-1708-2020-19-1-35-46
In silico assessment of plant L-asparaginase and estimating its allergenicity in comparison to bacteria asparaginase
M. Yazdi (2020)
10.1016/j.ttbdis.2020.101445
Prediction, mapping and validation of tick glutathione S-transferase B-cell epitopes.
Charles Ndawula (2020)
10.1016/j.meegid.2020.104199
Immunoinformatics guided rational design of a next generation multi epitope based peptide (MEBP) vaccine by exploring Zika virus proteome.
Farah Shahid (2020)
10.1007/s10989-020-10140-5
Designing of Nucleocapsid Protein Based Novel Multi-epitope Vaccine Against SARS-COV-2 Using Immunoinformatics Approach
J. Kumar (2020)
10.1016/bs.apcsb.2019.08.011
Physicochemical determinants of antibody-protein interactions.
Murat Karadag (2020)
10.26434/chemrxiv.12696173.v1
DNA Aptamers Block the Receptor Binding Domain at the Spike Protein of SARS-CoV-2
C. Fabrizio (2020)
10.1038/s41541-020-00231-1
Ehrlichia chaffeensis and E. canis hypothetical protein immunoanalysis reveals small secreted immunodominant proteins and conformation-dependent antibody epitopes
T. Luo (2020)
10.7717/peerj.9541
Anti-COVID-19 multi-epitope vaccine designs employing global viral genome sequences
Tahreem Zaheer (2020)
10.1093/bioinformatics/btaa263
Learning Context-aware Structural Representations to Predict Antigen and Antibody Binding Interfaces.
Srivamshi Pittala (2020)
10.1016/j.jgg.2020.01.003
Identification of potential cross-protective epitope between a new type of coronavirus (2019-nCoV) and severe acute respiratory syndrome virus
Tianyi Qiu (2020)
10.1080/07391102.2020.1728385
Adjacent dimer epitope of envelope protein as an important region for Zika virus serum neutralization: a computational investigation
C. Fuzo (2020)
10.1074/jbc.RA120.014802
ITEM-THREE analysis of a monoclonal anti-malaria antibody reveals its assembled epitope on the pfMSP119 antigen
Kwabena F M Opuni (2020)
10.3390/ijms21020648
Identification of a Novel Linear B-Cell Epitope on the Nucleocapsid Protein of Porcine Deltacoronavirus
Jiayu Fu (2020)
10.1007/978-1-0716-0389-5_16
EPCES and EPSVR: Prediction of B-Cell Antigenic Epitopes on Protein Surfaces with Conformational Information.
Shide Liang (2020)
10.1101/658054
Learning Context-aware Structural Representations to Predict Antigen and Antibody Binding Interfaces
Srivamshi Pittala (2020)
10.1016/j.virusres.2019.197824
Molecular evolution of the hemagglutinin-neuraminidase (HN) gene in human respirovirus 3.
Jumpei Aso (2019)
10.1016/j.jim.2019.05.005
In silico identification of epitopes present in human heat shock proteins (HSPs) overexpressed by tumour cells.
Jose Marchan (2019)
10.1016/j.jprot.2019.103572
Intact Transition Epitope Mapping - Thermodynamic Weak-force Order (ITEM - TWO).
Bright D Danquah (2019)
10.1007/978-3-030-32459-9
HIV/AIDS: Immunochemistry, Reductionism and Vaccine Design: A Review of 20 Years of Research
M. V. Van Regenmortel (2019)
10.1007/s00436-019-06238-5
Insights into the tracking of the cysteine proteinase B COOH-terminal polypeptide of Leishmania (Leishmania) amazonensis by surface plasmon resonance
Raquel Santos-de-Souza (2019)
10.1038/s41598-019-52446-5
Structural Features of a Conformation-dependent Antigen Epitope on ORFV-B2L Recognized by the 2E4 mAb
Yongzhong Yu (2019)
10.1038/s41598-018-37070-z
Immunoinformatic and systems biology approaches to predict and validate peptide vaccines against Epstein–Barr virus (EBV)
A. Ali (2019)
10.1038/s41598-019-40833-x
In-silico design of a multi-epitope vaccine candidate against onchocerciasis and related filarial diseases
Robert Adamu Shey (2019)
10.1038/s41598-019-39844-5
Identification of Neutralizing Monoclonal Antibodies Targeting Novel Conformational Epitopes of the Porcine Epidemic Diarrhoea Virus Spike Protein
Chia-Yu Chang (2019)
10.1002/mas.21516
Mass spectrometric epitope mapping.
Kwabena F M Opuni (2018)
10.1007/978-1-4939-7841-0_1
An Introduction to Epitope Mapping.
Johan Nilvebrant (2018)
10.1016/J.COCHE.2017.12.001
Mapping serum antibody repertoires using peptide libraries
Michael L Paull (2018)
10.1186/s12859-017-1528-9
SEPIa, a knowledge-driven algorithm for predicting conformational B-cell epitopes from the amino acid sequence
Georgios A. Dalkas (2017)
10.1186/s12864-017-4024-8
DRREP: deep ridge regressed epitope predictor
Gene I. Sher (2017)
See more
Semantic Scholar Logo Some data provided by SemanticScholar