Evidence map›Paper›PMID 38536724›Full record

ArticlemAbs

In silico methods for immunogenicity risk assessment and human homology screening for therapeutic antibodies.

Aimee E Mattei, Andres H Gutierrez, Soorya Seshadri, Jacob Tivin, Matt Ardito, Amy S Rosenberg, William D Martin, Anne S De Groot

Open access · goldAbstract read
In one paragraph

Article in mAbs. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
7.5field-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

29 citing papers in PubMed, 32 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Immunogenicity of Gene and Cell Therapies.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2026
    Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Design, build and test of a targeted synthetic protein strategy.Frontiers in bioengineering and biotechnology · 2026
    Article
  12. Review
  13. Review
  14. Article
  15. Review
  16. Review
  17. Review
  18. Article
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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

8 authors at 2 institutions in 1 country.

Aimee E MatteiEpiVax, Inc, Providence, RI, USA.
Andres H GutierrezEpiVax, Inc, Providence, RI, USA.
Soorya SeshadriEpiVax, Inc, Providence, RI, USA.
Jacob TivinEpiVax, Inc, Providence, RI, USA.
Matt ArditoEpiVax, Inc, Providence, RI, USA.
Amy S RosenbergEpiVax, Inc, Providence, RI, USA.
William D MartinEpiVax, Inc, Providence, RI, USA.
Anne S De GrootEpiVax, Inc, Providence, RI, USA.
EpiVax (United States) · USProvidence College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In silico immunogenicity risk assessment has been an important step in the development path for many biologic therapeutics, including monoclonal antibodies. Even if the source of a given biologic is 'fully human', T cell epitopes that are contained in the sequences of the biologic may activate the immune system, enabling the development of anti-drug antibodies that can reduce drug efficacy and may contribute to adverse events. Computational tools that identify T cell epitopes from primary amino acid sequences have been used to assess the immunogenic potential of therapeutic candidates for several decades. To facilitate larger scale analyses and accelerate preclinical immunogenicity risk assessment, our group developed an integrated web-based platform called ISPRI, (Immunogenicity Screening and Protein Re-engineering Interface) that provides hands-on access through a secure web-based interface for scientists working in large and mid-sized biotech companies in the US, Europe, and Japan. This toolkit has evolved and now contains an array of algorithms that can be used individually and/or consecutively for immunogenicity assessment and protein engineering. Most analyses start with the advanced epitope mapping tool (EpiMatrix), then proceed to identify epitope clusters using ClustiMer, and then use a tool called JanusMatrix to define whether any of the T cell epitope clusters may generate a regulatory T cell response which may diminish or eliminate anti-drug antibody formation. Candidates can be compared to similar products on a normalized immunogenicity scale. Should modifications to the biologic sequence be an option, a tool for moderating putative immunogenicity by editing T cell epitopes out of the sequence is available (OptiMatrix). Although this perspective discusses the in-silico immunogenicity risk assessment for monoclonal antibodies, bi-specifics, multi-specifics, and antibody-drug conjugates, the analysis of additional therapeutic modalities such as enzyme replacement proteins, blood factor proteins, CAR-T, gene therapy products, and peptide drugs is also made available on the ISPRI platform.

Indexed as

Biological ProductsEpitopes, T-LymphocyteAmino Acid SequenceAntibodies, MonoclonalHumansPeptidesAntibodies, MonoclonalBiological ProductsEpitopes, T-LymphocytePeptidesAnti-drug antibodiesEpiMatriximmunogenicityimmunoinformaticsJanusMatrixmonoclonal antibodyT cell epitopetregitope

Identifiers

PMID38536724
PMCPMC10978032
OpenAlexW4393219634

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.