Evidence map›Paper›PMID 42539095›Full record

ArticlebioRxiv : the preprint server for biology2026

Ensembles of

O Lyudovyk, J A Levine, M Pathil, S Martis, A Streltsov, Z Sethna, Y Elhanati, V P Balachandran, Q Morris, B D Greenbaum

Abstract readPreprint
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. 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

10 authors.

O LyudovykTri-institutional PhD Program in Computational Biology and Medicine, Weill Cornell Medicine, New York, NY USA.
J A LevineTri-institutional PhD Program in Computational Biology and Medicine, Weill Cornell Medicine, New York, NY USA.
M PathilThe Halvorsen Center for Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065 USA.
S MartisThe Halvorsen Center for Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065 USA.ORCID 0000-0003-1735-2347
A StreltsovJohnson Graduate School of Management, Cornell University, Ithaca, NY USA.
Z SethnaThe Halvorsen Center for Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065 USA.
Y ElhanatiThe Halvorsen Center for Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065 USA.
V P BalachandranImmuno-Oncology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Q MorrisTri-institutional PhD Program in Computational Biology and Medicine, Weill Cornell Medicine, New York, NY USA.
B D GreenbaumThe Halvorsen Center for Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065 USA.

Funding

Leveraging Cell-Cell Contact Labeling and Computational Modeling to Uncover Mechanisms of Thymic Selection In VivoF31AI200147 · NIAID · WEILL MEDICAL COLL OF CORNELL UNIV · PI Jonathan A Levine · 2026 to 2026
$50k
NIAID NIH HHS F31 AI200147
6 · The paper itself

Abstract

Adaptive immunity relies on T-cell receptor (TCR) recognition of peptides presented by the major histocompatibility complex (pMHC). Accurate prediction of TCR:pMHC binding pairs from sequence data remains a longstanding challenge in computational immunology, limiting the development of precision immunotherapies like cancer vaccines and adoptive cell therapies. Here, we present enFoldX (

Identifiers

PMID42539095
PMCPMC13419715

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.