Evidence map›Paper›PMID 38935305›Full record

ArticleMolecular diversity2025

Interface-driven structural evolution on diltiazem as novel uPAR inhibitors: from in silico design to in vitro evaluation.

Song Xie, Yang Zhou, Hao Zhu, Xinyi Xu, Han Zhang, Cai Yuan, Mingdong Huang, Peng Xu, Jinyu Li, Yichang Liu

Abstract read
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Article in Molecular diversity, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

10 authors.

Song XieSchool of Pharmacy, Nantong University, Nantong, 226001, Jiangsu, China.
Yang ZhouCollege of Chemistry, Fuzhou University, Fuzhou, 350116, China.
Hao ZhuSchool of Pharmacy, Nantong University, Nantong, 226001, Jiangsu, China.
Xinyi XuCollege of Chemistry, Fuzhou University, Fuzhou, 350116, China.
Han ZhangCollege of Chemistry, Fuzhou University, Fuzhou, 350116, China.
Cai YuanCollege of Biological Science and Engineering, Fuzhou University, Fuzhou, 350116, China.
Mingdong HuangCollege of Chemistry, Fuzhou University, Fuzhou, 350116, China.
Peng XuCollege of Biological Science and Engineering, Fuzhou University, Fuzhou, 350116, China.
Jinyu LiCollege of Chemistry, Fuzhou University, Fuzhou, 350116, China. j.li@fzu.edu.cn.
Yichang LiuSchool of Pharmacy, Nantong University, Nantong, 226001, Jiangsu, China. yichangliu@ntu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The urokinase-type plasminogen activator receptor (uPAR) emerges as a key target for anti-metastasis owing to its pivotal role in facilitating the invasive and migratory processes of cancer cells. Recently, we identified the uPAR-targeting anti-metastatic ability of diltiazem (22), a commonly used antihypertensive agent. Fine-tuning the chemical structures of known hits represents a vital branch of drug development. To develop novel anti-metastatic drugs, we performed an interface-driven structural evolution strategy on 22. The uPAR-targeting and anti-cancer abilities of this antihypertensive drug wereidentified by us recently. Based on in silico strategy, including extensive molecular dynamics (MD) simulations, hierarchical binding free energy predictions, and ADMET profilings, we designed, synthesized, and identified three new diltiazem derivatives (221-8, 221-57, and 221-68) as uPAR inhibitors. Indeed, all of these three derivatives exhibited uPAR-depending inhibitory activity against PC-3 cell line invasion at micromolar level. Particularly, derivatives 221-68 and 221-8 showed enhanced uPAR-dependent inhibitory activity against the tumor cell invasion compared to the original compound. Microsecond timesclae MD simulations demonstrated the optimized moiety of 221-68 and 221-8 forming more comprehensive interactions with the uPAR, highlighting the reasonability of our strategy. This work introduces three novel uPAR inhibitors, which not only pave the way for the development of effective anti-metastatic therapeutics, but also emphasize the efficacy and robustness of an in silico-based lead compound optimization strategy in drug design.

Indexed as

Antineoplastic AgentsDiltiazemDrug DesignReceptors, Urokinase Plasminogen ActivatorCell Line, TumorComputer SimulationHumansMolecular Docking SimulationMolecular Dynamics SimulationStructure-Activity RelationshipAntineoplastic AgentsDiltiazemReceptors, Urokinase Plasminogen ActivatorAnti-metastasisMetadynamicsMolecular dynamics simulationuPAR inhibitors

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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.