Evidence map›Paper›PMID 39651227›Full record

ArticlebioRxiv : the preprint server for biology2024

Design of high specificity binders for peptide-MHC-I complexes.

Bingxu Liu, Nathan F Greenwood, Julia E Bonzanini, Amir Motmaen, Jazmin Sharp, Chunyu Wang, Gian Marco Visani, Dionne K Vafeados, Nicole Roullier, Armita Nourmohammad and 2 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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

12 authors.

Bingxu LiuDepartment of Biochemistry, University of Washington, Seattle, WA 98195, USA.
Nathan F GreenwoodDepartment of Biochemistry, University of Washington, Seattle, WA 98195, USA.
Julia E BonzaniniDepartment of Biochemistry, University of Washington, Seattle, WA 98195, USA.
Amir MotmaenDepartment of Biochemistry, University of Washington, Seattle, WA 98195, USA.
Jazmin SharpDepartment of Biochemistry, University of Washington, Seattle, WA 98195, USA.
Chunyu WangDepartments of Molecular and Cellular Physiology and Structural Biology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Gian Marco VisaniPaul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, USA.
Dionne K VafeadosDepartment of Biochemistry, University of Washington, Seattle, WA 98195, USA.
Nicole RoullierDepartment of Biochemistry, University of Washington, Seattle, WA 98195, USA.
Armita NourmohammadPaul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, USA.
K Christopher GarciaDepartments of Molecular and Cellular Physiology and Structural Biology, Stanford University School of Medicine, Stanford, CA 94305, USA.
David BakerDepartment of Biochemistry, University of Washington, Seattle, WA 98195, USA.ORCID 0000-0002-3661-3410

Funding

Structural correlates of T cell receptor signalingR01AI103867 · NIAID · STANFORD UNIVERSITY · PI Kenan Christopher GARCIA · 2014 to 2026
$5.3M
Learning a molecular shape space for the adaptive immune systemR35GM142795 · NIGMS · UNIVERSITY OF WASHINGTON · PI NOURMOHAMMAD, ARMITA · 2021 to 2025
$1.8M
Cancer Research UK CGCATF-2023/100001NIAID NIH HHS R01 AI103867NIGMS NIH HHS R35 GM142795
6 · The paper itself

Abstract

Class I MHC molecules present peptides derived from intracellular antigens on the cell surface for immune surveillance, and specific targeting of these peptide-MHC (pMHC) complexes could have considerable utility for treating diseases. Such targeting is challenging as it requires readout of the few outward facing peptide antigen residues and the avoidance of extensive contacts with the MHC carrier which is present on almost all cells. Here we describe the use of deep learning-based protein design tools to

Identifiers

PMID39651227
PMCPMC11623666

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.