Evidence map›Paper›PMID 35539390›Full record

ArticleRSC advances2018

Computer-aided drug design, synthesis and identification of disulfide compounds as novel and potential allosteric PAK1 inhibitors.

Hanwei Huang, Hailun Jiang, Xiangyu Zhang, Wei Li, Pengliang Wang, Funan Liu, Jian Wang, Mingfeng Bai, Maosheng Cheng

Abstract read
In one paragraph

Article in RSC advances, 2018. 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

9 authors.

Hanwei HuangDepartment of Surgical Oncology and General Surgery, The First Affiliated Hospital of China Medical University 155 Nanjing North Street, Heping District Shenyang China 110001 lfn540@126.com.
Hailun JiangKey Laboratory of Structure-Based Drug Design and Discovery of Ministry of Education, Shenyang Pharmaceutical University China.
Xiangyu ZhangKey Laboratory of Structure-Based Drug Design and Discovery of Ministry of Education, Shenyang Pharmaceutical University China.
Wei LiDepartment of Pharmaceutical Engineering, Shenyang University of Chemical Technology Shenyang China.
Pengliang WangDepartment of Surgical Oncology and General Surgery, The First Affiliated Hospital of China Medical University 155 Nanjing North Street, Heping District Shenyang China 110001 lfn540@126.com.
Funan LiuDepartment of Surgical Oncology and General Surgery, The First Affiliated Hospital of China Medical University 155 Nanjing North Street, Heping District Shenyang China 110001 lfn540@126.com.ORCID https://orcid.org/0000-0001-9889-2892
Jian WangKey Laboratory of Structure-Based Drug Design and Discovery of Ministry of Education, Shenyang Pharmaceutical University China.
Mingfeng BaiVanderbilt University Institute of Imaging Science (VUIIS), Vanderbilt University Medical Center Nashville Tennessee 37232 USA.ORCID https://orcid.org/0000-0003-1139-0780
Maosheng ChengKey Laboratory of Structure-Based Drug Design and Discovery of Ministry of Education, Shenyang Pharmaceutical University China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

p21-activated kinase 1 (PAK1) is an evolutionarily conserved serine/threonine protein kinase, which has been considered as one of the key regulatory factors in signaling network of tumor cells. Therefore, inhibition of PAK1 may be a potential approach to treat many types of solid tumors. Several allosteric inhibitors of PAK1 have been identified, and the most well known one is IPA-3. But its biological activity is not satisfied, and the structure activity relationship (SAR) of PAK1 allosteric inhibitors is unclear. In this study, we designed and synthesized 13 potential allosteric inhibitors by using computer-aided drug design based on the structure of the existing PAK1 allosteric inhibitors. All the compounds were characterized by

Identifiers

PMID35539390
PMCPMC9079282

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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.