Evidence map›Paper›PMID 37188806›Full record

ReviewNature protocols2023

The ClusPro AbEMap web server for the prediction of antibody epitopes.

Israel T Desta, Sergei Kotelnikov, George Jones, Usman Ghani, Mikhail Abyzov, Yaroslav Kholodov, Daron M Standley, Dmitri Beglov, Sandor Vajda, Dima Kozakov

Open access · bronzeAbstract readReview
In one paragraph

Review in Nature protocols, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
8.7field-weighted citation impact, top 2% 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

19 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Targeting PD-1Science advances · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Improving B-cell epitope prediction.Drug discovery today · 2025
    Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Clinicopathological andCurrent medicinal chemistry · 2025
    Article
  16. Review
  17. Article
  18. Peptide Antibodies: Current Status.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  19. Review
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

10 authors at 4 institutions in 3 countries.

Israel T Desta *Department of Biomedical Engineering, Boston University, Boston, MA, USA.
Sergei Kotelnikov *Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY, USA.ORCID 0000-0001-9400-101X
George JonesDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY, USA.
Usman GhaniDepartment of Biomedical Engineering, Boston University, Boston, MA, USA.
Mikhail AbyzovInnopolis University, Innopolis, Russia.
Yaroslav KholodovInnopolis University, Innopolis, Russia.
Daron M StandleyDepartment of Genome Informatics, Osaka University, Osaka, Japan.
Dmitri BeglovDepartment of Biomedical Engineering, Boston University, Boston, MA, USA.
Sandor VajdaDepartment of Biomedical Engineering, Boston University, Boston, MA, USA. vajda@bu.edu.ORCID 0000-0003-1540-8220
Dima KozakovDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY, USA. midas@laufercenter.org.
Boston University · USStony Brook University · USInnopolis University · RUOsaka International Cancer Institute · JP

Funding

Analysis and Prediction of Molecular InteractionsR35GM118078 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI SANDOR VAJDA · 2016 to 2026
$6.5M
Simulation of Multi-Protein systemsR01GM140098 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI KOZAKOV, DMYTRO · 2021 to 2024
$1.4M
Fast energy evaluation for multi-protein systemsR21GM127952 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI KOZAKOV, DMYTRO · 2018 to 2019
$432k
High-throughput portable software for fragment-based drug designR41GM097907 · NIGMS · ACPHARIS, INC. · PI VAJDA, SANDOR · 2011 to 2011
$98k
NIGMS NIH HHS R01 GM140098NIGMS NIH HHS R21 GM127952NIGMS NIH HHS R35 GM118078NIGMS NIH HHS R41 GM097907
6 · The paper itself

Abstract

Antibodies play an important role in the immune system by binding to molecules called antigens at their respective epitopes. These interfaces or epitopes are structural entities determined by the interactions between an antibody and an antigen, making them ideal systems to analyze by using docking programs. Since the advent of high-throughput antibody sequencing, the ability to perform epitope mapping using only the sequence of the antibody has become a high priority. ClusPro, a leading protein-protein docking server, together with its template-based modeling version, ClusPro-TBM, have been re-purposed to map epitopes for specific antibody-antigen interactions by using the Antibody Epitope Mapping server (AbEMap). ClusPro-AbEMap offers three different modes for users depending on the information available on the antibody as follows: (i) X-ray structure, (ii) computational/predicted model of the structure or (iii) only the amino acid sequence. The AbEMap server presents a likelihood score for each antigen residue of being part of the epitope. We provide detailed information on the server's capabilities for the three options and discuss how to obtain the best results. In light of the recent introduction of AlphaFold2 (AF2), we also show how one of the modes allows users to use their AF2-generated antibody models as input. The protocol describes the relative advantages of the server compared to other epitope-mapping tools, its limitations and potential areas of improvement. The server may take 45-90 min depending on the size of the proteins.

Indexed as

FurylfuramideProteinsAntibodiesAntigensEpitope MappingEpitopesAntibodiesAntigensEpitopesFurylfuramideProteins

Identifiers

PMID37188806
PMCPMC10898366
OpenAlexW4376617817

What OpenQuestion holds

Textmetadata
LicenceTDM
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.