Evidence map›Paper›PMID 41089478›Full record

ArticleACS medicinal chemistry letters2025

Discovery and Characterization of Novel PIM1 Inhibitors via Virtual Screening and Molecular Dynamics Simulations.

Yan Lu, Yingxuan Xu, Shuangshuang Geng, Wenjie Zhu, Qingnan Zhang, Lei Xu, Donghang Xu, Yang Lu

Abstract read
In one paragraph

Article in ACS medicinal chemistry letters, 2025. 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. Article
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

8 authors.

Yan LuDepartment of Pharmacy, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310000, China.
Yingxuan XuCollege of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China.
Shuangshuang GengCollege of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China.
Wenjie ZhuDepartment of Pharmacy, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310000, China.
Qingnan ZhangCollege of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China.
Lei XuInstitute of Bioinformatics and Medical Engineering, School of Electrical and Information Engineering, Jiangsu University of Technology, Changzhou 213001, China.
Donghang XuDepartment of Pharmacy, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310000, China.
Yang LuKey Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of Medicine, Hangzhou City University, Hangzhou 310015, China.ORCID https://orcid.org/0000-0002-0383-2289

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Overexpression of the proviral integration site for Moloney murine leukemia virus (PIM) kinase 1 (PIM1) has emerged as a pivotal factor in multiple myeloma (MM) progression, positioning PIM1 as a promising target for novel therapeutic interventions. In response, this study developed a robust virtual screening protocol that integrates deep learning-based drug screening with docking-based approaches to systematically identify potential PIM1 inhibitors. This strategy led to the identification of a compound with potent inhibitory activity against PIM1, evidenced by an IC

Indexed as

Deep learningMolecular dynamicMultiple myelomaPIM1Virtual screening

Identifiers

PMID41089478
PMCPMC12516365

What Socratic holds

Textmetadata
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.