The Evolution of Artificial Intelligence in Antibody Design: From Structure-Based Engineering to Generative Models.

Abstract readReview

In one paragraph

Review in Antibodies (Basel, Switzerland), 2026. 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

–field-weighted citation impact

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.

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

2 authors.

Ida SzataniakIMPAKT-Interdisciplinary Student Research Group of Immunology, Allergology, Parasitology and Molecular Medicine, Department of Medical Sciences, Władysław Biegański Collegium Medicum, Jan Długosz University in Częstochowa, 42-200 Częstochowa, Poland.ORCID 0009-0006-5311-4900

Kacper PackiIMPAKT-Interdisciplinary Student Research Group of Immunology, Allergology, Parasitology and Molecular Medicine, Department of Medical Sciences, Władysław Biegański Collegium Medicum, Jan Długosz University in Częstochowa, 42-200 Częstochowa, Poland.ORCID 0000-0001-8646-1884

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

antibody engineeringantibody structure predictionartificial intelligencecomputational antibody designcomputational biologydeep learninggenerative artificial intelligenceprotein language modelstherapeutic antibodies

Identifiers

PMID42776794

DOI10.3390/antib15050081

PMCPMC13600136

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.