Evidence map›Paper›PMID 41867703›Full record

ArticlebioRxiv : the preprint server for biology2026

Validation and analysis of 12,000 AI-driven CAR-T designs in the

Clayton W Kosonocky, Alex M Abel, Aaron L Feller, Amanda E Cifuentes Rieffer, Phillip R Woolley, Jakub Lála, Daryl R Barth, Tynan Gardner, Bits to Binders Competitors, Stephen C Ekker and 3 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

13 authors.

Clayton W KosonockyDepartment of Molecular Biosciences, University of Texas at Austin, Austin, Texas, USA.ORCID 0000-0002-6420-8615
Alex M AbelLifEngine Animal Health (LEAH) Laboratories Incorporated, Minneapolis, Minnesota, USA.ORCID 0000-0003-4022-2495
Aaron L FellerDepartment of Molecular Biosciences, University of Texas at Austin, Austin, Texas, USA.ORCID 0000-0002-4476-1026
Amanda E Cifuentes RiefferLifEngine Animal Health (LEAH) Laboratories Incorporated, Minneapolis, Minnesota, USA.ORCID 0000-0002-1132-7784
Phillip R WoolleyDepartment of Molecular Biosciences, University of Texas at Austin, Austin, Texas, USA.ORCID 0000-0003-4473-9424
Jakub LálaDepartment of Materials, Imperial College London, London, United Kingdom.ORCID 0000-0002-5424-5260
Daryl R BarthDepartment of Molecular Biosciences, University of Texas at Austin, Austin, Texas, USA.ORCID 0000-0003-3690-3909
Tynan GardnerDepartment of Molecular Biosciences, University of Texas at Austin, Austin, Texas, USA.ORCID 0000-0002-6948-4918
Bits to Binders Competitors
Stephen C EkkerDepartment of Pediatrics, Dell Medical School, University of Texas at Austin, Austin, TX, USA.ORCID 0000-0003-0726-4212
Andrew D EllingtonDepartment of Molecular Biosciences, University of Texas at Austin, Austin, Texas, USA.ORCID 0000-0001-6246-5338
Wesley A WiersonLifEngine Animal Health (LEAH) Laboratories Incorporated, Minneapolis, Minnesota, USA.ORCID 0000-0003-2764-6947
Edward M MarcotteDepartment of Molecular Biosciences, University of Texas at Austin, Austin, Texas, USA.ORCID 0000-0001-8808-180X

Funding

Proteomics and model organism humanization to decode human geneticsR35GM122480 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI EDWARD M MARCOTTE · 2017 to 2026
$5.4M
NIGMS NIH HHS R35 GM122480
6 · The paper itself

Abstract

Artificial intelligence (AI) methods for proteins have advanced rapidly, improving structure prediction and design, particularly for

Identifiers

PMID41867703
PMCPMC13001334

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.