Evidence map›Paper›PMID 41415384›Full record

ArticlebioRxiv : the preprint server for biology2025

Sequence and structural determinants of efficacious

Arthur Chow, Hoyin Chu, Ruofan Li, Benan N Nalbant, Abdul Vehab Dozic, Laura C Kida, Caleb A Lareau

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

5 · Who and what money

Authors and funding

7 authors.

Arthur ChowComputational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0003-4922-0410
Hoyin ChuComputational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY.
Ruofan LiComputational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY.
Benan N NalbantComputational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY.
Abdul Vehab DozicComputational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY.
Laura C KidaComputational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY.
Caleb A LareauComputational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0003-4179-4807

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
The Memorial Sloan Kettering Cancer Center SPORE in LeukemiaP50CA254838 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI Eytan Stein · 2021 to 2026
$16.8M
Programmable nucleic acid cytometry for unraveling heterogeneity in tumors and therapiesR33CA302491 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI Ronan Chaligne, Caleb Andrew Lareau · 2025 to 2026
$836k
Charting somatic evolution via single-cell multiomicsR00HG012579 · NHGRI · SLOAN-KETTERING INST CAN RESEARCH · PI LAREAU, CALEB ANDREW · 2023 to 2025
$747k
NCI NIH HHS P30 CA008748NCI NIH HHS P50 CA254838NCI NIH HHS R33 CA302491NHGRI NIH HHS R00 HG012579
6 · The paper itself

Abstract

Advances in generative protein design using artificial intelligence (AI) have enabled the rapid development of binders against heterogeneous targets, including tumor-associated antigens. Despite extensive biochemical characterization, these novel protein binders have had limited evaluation as agents in candidate therapeutics, including chimeric antigen receptor (CAR) T cells. Here, we synthesize generative protein design workflows to screen 1,589 novel protein binders targeting BCMA, CD19, and CD22 for efficacy in scalable protein-binding and T cell assays. We identify three main challenges that hinder the utility of

Identifiers

PMID41415384
PMCPMC12710756

What OpenQuestion holds

Textmetadata
LicenceCC BY-ND
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.