Evidence map›Paper›PMID 42728757›Full record

ArticleNMR in biomedicine2026

Machine Learning-Based Development of Gadolinium Binding Peptides.

Nir A Dayan, Makayla Long, Nicolas Scalzitti, Iliya Miralavy, Daniel Holmes, Mark Kocherovsky, Wolfgang Banzhaf, Assaf A Gilad

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NMR in biomedicine, 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

5 · Who and what money

Authors and funding

8 authors.

Nir A DayanDepartment of Chemical Engineering & Material Science, Michigan State University, East Lansing, Michigan, USA.ORCID https://orcid.org/0000-0002-3695-0986
Makayla LongMichigan State University College of Human Medicine, Grand Rapids, Michigan, USA.
Nicolas ScalzittiDepartment of Chemical Engineering & Material Science, Michigan State University, East Lansing, Michigan, USA.ORCID https://orcid.org/0000-0002-2477-3054
Iliya MiralavyDepartment of Computer Science and Engineering, Michigan state university, East Lansing, Michigan, USA.
Daniel HolmesDepartment of Chemistry, Michigan State University, East Lansing, Michigan, USA.
Mark KocherovskyDepartment of Computer Science and Engineering, Michigan state university, East Lansing, Michigan, USA.
Wolfgang BanzhafDepartment of Computer Science and Engineering, Michigan state university, East Lansing, Michigan, USA.ORCID https://orcid.org/0000-0002-6382-3245
Assaf A GiladDepartment of Chemical Engineering & Material Science, Michigan State University, East Lansing, Michigan, USA.ORCID https://orcid.org/0000-0002-7272-7570

Funding

Clinically Translatable MRI Reporter Genes and Imaging Methods with Ultra-High Specificity and SensitivityR01EB031008 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI CHRISTIAN T FARRAR · 2021 to 2026
$4.0M
Evolution and optimization of synthetic <READ/WRITE> function from and into cells using genetic programmingR01EB030565 · NIBIB · MICHIGAN STATE UNIVERSITY · PI BANZHAF, WOLFGANG, GILAD, ASSAF A · 2021 to 2024
$2.3M
Semi-synthetic, magneto-photonic circuit for non-invasive control of cellular functionR01EB031936 · NIBIB · CENTRAL MICHIGAN UNIVERSITY · PI GILAD, ASSAF A, HOCHGESCHWENDER, UTE H · 2021 to 2021
$2.0M
National Institutes of Health/National Institute of Biomedical Imaging and Bioengineering R01-EB030565National Institutes of Health/National Institute of Biomedical Imaging and Bioengineering R01-EB031008National Institutes of Health/National Institute of Biomedical Imaging and Bioengineering R01-EB031936NIBIB NIH HHS R01 EB030565NIBIB NIH HHS R01 EB031008NIBIB NIH HHS R01 EB031936
6 · The paper itself

Abstract

Gadolinium-based contrast agents (GBCAs) are indispensable tools in magnetic resonance imaging (MRI), yet their clinical use is limited by non-specific tissue accumulation, low molecular specificity, and safety concerns. Protein and peptide scaffolds provide a promising alternative because they can bind metal ions with high selectivity and enable precise molecular targeting. However, identifying short peptide motifs with optimal gadolinium (Gd

Indexed as

GadoliniumMachine LearningPeptidesAmino Acid SequenceContrast MediaMagnetic Resonance ImagingProtein BindingProtein EngineeringContrast MediaGadoliniumPeptidesgadolinium‐based contrast‐agentsmachine‐learningmagnetic resonance imagingsynthetic biology

Identifiers

PMID42728757
PMCPMC13569970

What OpenQuestion holds

Textmetadata
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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.