Evidence map›Paper›PMID 37733481›Full record

ReviewProtein science : a publication of the Protein Society2023

Multi-perspectives and challenges in identifying B-cell epitopes.

Nishant Kumar, Nisha Bajiya, Sumeet Patiyal, Gajendra P S Raghava

Open access · bronzeAbstract readReview
In one paragraph

Review in Protein science : a publication of the Protein Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

23 citing papers in PubMed, 30 citations in OpenAlex.

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  19. An Overview of Epitopes and Methods for Antibody Epitope Mapping.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
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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

4 authors at 1 institution in 1 country.

Nishant KumarDepartment of Computational Biology, Indraprastha Institute of Information Technology, New Delhi, India.ORCID 0000-0001-7781-9602
Nisha BajiyaDepartment of Computational Biology, Indraprastha Institute of Information Technology, New Delhi, India.ORCID 0000-0002-5075-5386
Sumeet PatiyalDepartment of Computational Biology, Indraprastha Institute of Information Technology, New Delhi, India.ORCID 0000-0003-1358-292X
Gajendra P S RaghavaDepartment of Computational Biology, Indraprastha Institute of Information Technology, New Delhi, India.ORCID 0000-0002-8902-2876
Indraprastha Institute of Information Technology Delhi · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The identification of B-cell epitopes (BCEs) in antigens is a crucial step in developing recombinant vaccines or immunotherapies for various diseases. Over the past four decades, numerous in silico methods have been developed for predicting BCEs. However, existing reviews have only covered specific aspects, such as the progress in predicting conformational or linear BCEs. Therefore, in this paper, we have undertaken a systematic approach to provide a comprehensive review covering all aspects associated with the identification of BCEs. First, we have covered the experimental techniques developed over the years for identifying linear and conformational epitopes, including the limitations and challenges associated with these techniques. Second, we have briefly described the historical perspectives and resources that maintain experimentally validated information on BCEs. Third, we have extensively reviewed the computational methods developed for predicting conformational BCEs from the structure of the antigen, as well as the methods for predicting conformational epitopes from the sequence. Fourth, we have systematically reviewed the in silico methods developed in the last four decades for predicting linear or continuous BCEs. Finally, we have discussed the overall challenge of identifying continuous or conformational BCEs. In this review, we only listed major computational resources; a complete list with the URL is available from the BCinfo website (https://webs.iiitd.edu.in/raghava/bcinfo/).

Indexed as

AntigensEpitopes, B-LymphocyteAmino Acid SequenceAntigensEpitopes, B-LymphocyteB-cell epitope predictionclass-specific epitopesconformational B-cell epitopedatabasesdeep learninglinear B-cell epitopemachine learning

Identifiers

PMID37733481
PMCPMC10578127
OpenAlexW4386923520

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.