Evidence map›Paper›PMID 41973186›Full record

ReviewNano convergence2026

Simulation-guided design of peptide-metal coordination interfaces for next-generation metallo-immunotherapy.

Yeonwoo Jang, Naline Bellier, Kevin Kent Vincent Canlas, Ju Yeon Lee, Yujin Kim, Hansoo Park, James J Moon

Abstract readReview
In one paragraph

Review in Nano convergence, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

7 authors.

Yeonwoo Jang *School of Integrative Engineering, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul, 06974, Republic of Korea.
Naline Bellier *School of Integrative Engineering, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul, 06974, Republic of Korea.
Kevin Kent Vincent CanlasSchool of Integrative Engineering, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul, 06974, Republic of Korea.
Ju Yeon LeeSchool of Integrative Engineering, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul, 06974, Republic of Korea.
Yujin KimDepartment of Pharmaceutical Sciences, University of Michigan, Ann Arbor, MI, USA.ORCID http://orcid.org/0000-0002-7186-221X
Hansoo ParkSchool of Integrative Engineering, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul, 06974, Republic of Korea. heyshoo@cau.ac.kr.
James J MoonDepartment of Pharmaceutical Sciences, University of Michigan, Ann Arbor, MI, USA. moonjj@umich.edu.ORCID http://orcid.org/0000-0003-2238-2372

Funding

National Center for Inter-University Research Facilities, Seoul National University RS-2024-00449435
6 · The paper itself

Abstract

Metal ions are crucial regulators of immune signaling, metabolism, and redox homeostasis, but their therapeutic deployment in cancer immunotherapy is limited by systemic toxicity and inadequate spatiotemporal control. Peptide–metal coordination interfaces offer a programmable solution by combining sequence-encoded recognition with tunable coordination chemistry, enabling controlled metal speciation, bioavailability, and stimulus-responsive functions in complex biological environments. This review summarizes how biologically relevant ions, including Mn2+, Zn2+, Cu2+, and Fe2+/Fe3+, modulate innate and adaptive immunity through direct reprogramming of macrophages, dendritic cells, T cells, and natural killer cells, as well as through indirect remodeling of the tumor microenvironment via immunogenic cell death, redox perturbation, hypoxia alleviation, and disruption of immunosuppressive pathways. We discuss essential peptide–metal coordination principles, including natural binding motifs, synthetic coordination primitives, and stimulus-responsive switching mechanisms that enable dynamic regulation of metal–ligand interactions. To accelerate rational discovery, we outline a simulation-guided computational toolbox integrating docking-based prescreening, molecular dynamics, and metadynamics for stability assessment, quantum mechanical/molecular mechanics approaches for electronic-level accuracy, and machine learning workflows for multi-parameter optimization across high-dimensional design spaces. Finally, we survey the application landscape of peptide–metal platforms, from self-assembled ion-reservoir architectures to hybrid systems incorporating lipidic, polymeric, inorganic, or biomimetic carriers for improved pharmacokinetics and combinatorial functionality. Collectively, this perspective connects coordination chemistry with immunoengineering and highlights simulation-guided strategies for designing adaptive metallo-immunotherapeutic nanoplatforms with spatiotemporal precision and translational potential.

Indexed as

Machine learningMetallo-immunotherapyPeptide–metal coordinationSimulation-guided designTumor microenvironment

Identifiers

PMID41973186
PMCPMC13076748

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.