Evidence map›Paper›PMID 37258915›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

Prediction of Linear B Cell Epitopes in Proteins.

Juan R de Los Toyos

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.7field-weighted citation impact, top 16% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Juan R de Los ToyosÁrea de Inmunología, Facultad de Medicina y Ciencias de la Salud, Universidad de Oviedo, Oviedo, Spain. jrtoyos@uniovi.es.
Universidad de Oviedo · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The accurate prediction of B cell epitopes is crucial for the design and development of vaccines, especially of those preventive for emerging pathogenic diseases. Preventive vaccines are mainly based on the induction of highly specific neutralizing antibodies. This chapter deals with some prediction methods, which are currently available as user-friendly online servers, to predict B cell epitopes in proteins. A final assessment to validate these predictions is done by recurring to the Immune Epitope Database (IEDB).

Indexed as

Epitopes, B-LymphocyteVaccinesEpitopes, T-LymphocyteProteinsEpitopes, B-LymphocyteEpitopes, T-LymphocyteProteinsVaccinesLinear B cell epitopesPredictionProteins

Identifiers

PMID37258915
OpenAlexW4378801493

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.