Evidence map›Paper›PMID 42518390›Full record

ArticleACS omega2026

Rational Design of Peptide Binders Targeting Prominin‑1 and Sortilin for Molecular Sensing Applications.

Samavath Mallawarachchi, Nirmitee Mulgaonkar, Samuel Mabbott, Shreya A Raghavan, Sandun Fernando

Abstract read
In one paragraph

Article in ACS omega, 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

5 authors.

Samavath MallawarachchiDepartment of Biological and Agricultural Engineering, Texas A&M University, College Station, Texas 77843, United States.ORCID https://orcid.org/0000-0002-8153-2388
Nirmitee MulgaonkarDepartment of Biological and Agricultural Engineering, Texas A&M University, College Station, Texas 77843, United States.
Samuel MabbottDepartment of Biomedical Engineering, Texas A&M University, College Station, Texas 77843, United States.ORCID https://orcid.org/0000-0003-4926-5467
Shreya A RaghavanDepartment of Biomedical Engineering, Texas A&M University, College Station, Texas 77843, United States.ORCID https://orcid.org/0000-0002-4631-7762
Sandun FernandoDepartment of Biological and Agricultural Engineering, Texas A&M University, College Station, Texas 77843, United States.ORCID https://orcid.org/0000-0002-7692-2170

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prominin-1 (CD133) and sortilin are two clinically important biomarkers that have been associated with multiple types of cancer. Designing molecules targeting these biomarkers is highly useful for both detection and targeted treatment of cancer. Current detection strategies for these biomarkers primarily rely on receptor-specific antibodies. However, antibodies have several limitations, including high sensitivity to glycosylation in prominin-1, poor tumor penetration, and limited suitability for a broad range of biomolecular assays. These limitations highlight the need for alternative targeting molecules, such as peptides. This study employs a peptide design approach based on residue-level binding for the rational design of peptides targeting prominin-1 and sortilin. This approach is based on identifying the amino acids with the highest predicted affinities toward the receptor and combining the strongest binding amino acids to create peptide sequences. Initially, candidate peptides with docking scores less than -8 kcal/mol were screened using molecular docking, and the binding stability of these peptides was verified by using molecular dynamics simulations. Preliminary experimental validation via biolayer interferometry indicated that these peptides bind to prominin-1 and sortilin with micromolar-level affinities. While the binding behavior of sortilin-targeting peptides suggested some heterogeneous binding, the overall binding behavior was consistent with micromolar-level affinities. This approach provides a promising method for developing peptide binders targeting critical biomarkers, such as prominin-1 and sortilin.

Identifiers

PMID42518390
PMCPMC13382844

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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.