ArticleMolecular immunology2008
A novel computer algorithm improves antibody epitope prediction using affinity-selected mimotopes: a case study using monoclonal antibodies against the West Nile virus E protein.
Article in Molecular immunology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed.
- Antigenic analysis of monoclonal antibodies against different epitopes of σB protein of avian reovirus.PloS one · 2013Article
- Bioinformatics resources and tools for conformational B-cell epitope prediction.Computational and mathematical methods in medicine · 2013Review
- Antibody responses in humans infected with newly emerging strains of West Nile Virus in Europe.PloS one · 2013Article
- Identification of two linear B-cell epitopes from West Nile virus NS1 by screening a phage-displayed random peptide library.BMC microbiology · 2011Article
- MimoPro: a more efficient Web-based tool for epitope prediction using phage display libraries.BMC bioinformatics · 2011Article
- Identification of a conserved JEV serocomplex B-cell epitope by screening a phage-display peptide library with a mAb generated against West Nile virus capsid protein.Virology journal · 2011Article
- Bioinformatics resources and tools for phage display.Molecules (Basel, Switzerland) · 2011Review
- Applying bioinformatics for antibody epitope prediction using affinity-selected mimotopes - relevance for vaccine design.Immunome research · 2010Article
- Predicting interaction sites from the energetics of isolated proteins: a new approach to epitope mapping.Biophysical journal · 2010Article
- Characterizing complex polysera produced by antigen-specific immunization through the use of affinity-selected mimotopes.PloS one · 2009Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Understanding antibody function is often enhanced by knowledge of the specific binding epitope. Here, we describe a computer algorithm that permits epitope prediction based on a collection of random peptide epitopes (mimotopes) isolated by antibody affinity purification. We applied this methodology to the prediction of epitopes for five monoclonal antibodies against the West Nile virus (WNV) E protein, two of which exhibit therapeutic activity in vivo. This strategy was validated by comparison of our results with existing F(ab)-E protein crystal structures and mutational analysis by yeast surface display. We demonstrate that by combining the results of the mimotope method with our data from mutational analysis, epitopes could be predicted with greater certainty. The two methods displayed great complementarity as the mutational analysis facilitated epitope prediction when the results with the mimotope method were equivocal and the mimotope method revealed a broader number of residues within the epitope than the mutational analysis. Our results demonstrate that the combination of these two prediction strategies provides a robust platform for epitope characterization.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.