Evidence map›Paper›PMID 42523843›Full record

ArticleResearch (Washington, D.C.)2026

Computational Study of Terahertz-Induced Phase Transitions at Molecular Interfaces.

Chenzhi Tang, Dexing Shen, Zhi Du, Yong He, Yingying Sun, Ze Wang, Yuanyuan He, Xingang Ren, Kaijie Wu

Abstract read
In one paragraph

Article in Research (Washington, D.C.), 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

9 authors.

Chenzhi TangSchool of Electronic and Information Engineering, Anhui University, Hefei 230601, China.
Dexing ShenSchool of Electronic and Information Engineering, Anhui University, Hefei 230601, China.
Zhi DuSchool of Electronic and Information Engineering, Anhui University, Hefei 230601, China.
Yong HeSchool of Electronics, Peking University, Beijing 100871, China.
Yingying SunSchool of Electronic and Information Engineering, Anhui University, Hefei 230601, China.
Ze WangSchool of Electronic and Information Engineering, Anhui University, Hefei 230601, China.
Yuanyuan HeSchool of Safety Engineering, University of Emergency Management, Hebei 065201, China.
Xingang RenSchool of Electronic and Information Engineering, Anhui University, Hefei 230601, China.
Kaijie WuSchool of Electronic and Information Engineering, Anhui University, Hefei 230601, China.ORCID https://orcid.org/0009-0005-0824-0679

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Structural phase transitions driven by atomic rearrangements at the interaction interfaces of biological macromolecules, particularly proteins, are fundamental to regulating critical physiological processes, making their effective modulation key to developing targeted therapeutics. Existing induction strategies encounter substantial limitations: Chemical methods have difficulty accessing shallow binding pockets and can lead to invasive, irreversible modifications, while common visible and near-infrared modulation technologies are hindered by side effects induced by exogenous agents and restricted deep-tissue penetration. Here, using molecular dynamics simulations of the programmed cell death protein 1/programmed cell death 1 ligand 2 complex, we find terahertz light (40.2 THz) to be a reversible, nonthermal, and noninvasive physical induction modality to drive a directed structural phase transition. Energetic analyses reveal that the terahertz field markedly decreases the binding affinity by more than 3-fold and reduces the free energy barrier by nearly 3-fold. Fundamentally, our research demonstrates that this directed decoupling process originates from the coherent resonance of certain key interfacial residues. Collectively, our findings propose a universal physical strategy to modulate macromolecular interfaces, providing an essential computational framework to guide future experimental validations in noninvasive tumor immunotherapy.

Identifiers

PMID42523843
PMCPMC13408037

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.