Evidence map›Paper›PMID 33486472›Full record

ArticleAging2021

Effective natural inhibitors targeting poly ADP-ribose polymerase by computational study.

Sheng Zhong, Bo Wu, Wenzhuo Yang, Junliang Ge, Xiangheng Zhang, Zhenghe Chen, Hao Duan, Zhenqiang He, Yibing Liu, Hongyu Wang and 7 more

Open access · greenAbstract read
In one paragraph

Article in Aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 22% of its field
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

6 citing papers in PubMed, 12 citations in OpenAlex.

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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

17 authors at 6 institutions in 1 country.

Sheng ZhongNeurosurgery and Neuro-Oncology Department, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Bo WuClinical College, Jilin University, Changchun, China.
Wenzhuo YangClinical College, Jilin University, Changchun, China.
Junliang GeClinical College, Jilin University, Changchun, China.
Xiangheng ZhangNeurosurgery and Neuro-Oncology Department, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Zhenghe ChenNeurosurgery and Neuro-Oncology Department, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Hao DuanNeurosurgery and Neuro-Oncology Department, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Zhenqiang HeNeurosurgery and Neuro-Oncology Department, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Yibing LiuClinical College, Jilin University, Changchun, China.
Hongyu WangClinical College, Jilin University, Changchun, China.
Yuting JiangClinical College, Jilin University, Changchun, China.
Zhiyun ZhangClinical College, Jilin University, Changchun, China.
Xinhui WangDepartment of Oncology, The First Bethune Hospital of Jilin University, Changchun, China.
Weihang LiDepartment of Orthopaedics, Xijing Hospital, The Fourth Military Medical University, Xi'an, China.
Naimeng LiuClinical College, Jilin University, Changchun, China.
Xiaoyu GuoNeurosurgery and Neuro-Oncology Department, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Yonggao MouNeurosurgery and Neuro-Oncology Department, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Jilin University · CNSun Yat-sen University · CNSun Yat-sen University Cancer Center · CNFirst Bethune Hospital of Jilin University · CNState Key Laboratory of Oncology in South ChinaXijing Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectThis study was designed to screen ideal lead compounds and drug candidates with an inhibitory effect on PARP from the drug library (ZINC database).

resultsTwo effective natural compounds ZINC000003938684 and ZINC000014811844 were found to bind to PARP in the ZINC database, showing a higher binding affinity. Also, they were predicted to have lower rodent carcinogenicity, Ames mutagenicity, developmental toxicity potential, and high tolerance to cytochrome P4502D6. Molecular dynamics simulation showed that ZINC000003938684 and ZINC000014811844 had a more favorable potential energies with PARP, which could exist stably in natural circumstances.

conclusionThis study suggested that ZINC000003938684 and ZINC000014811844 were ideal potential inhibitors of PARP targeting. These compounds were safe drug candidates and had important implications for the design and improvement of CMET target drugs.

methodsA battery of computer-aided virtual techniques were used to identify potential inhibitors of PARP. LibDock is used for structure-based screening followed by ADME (absorption distribution, metabolic excretion) and toxicity prediction. Molecular docking was performed to demonstrate the binding affinity mechanism between the ligand and PARP. Molecular dynamics simulations were used to evaluate the stability of ligand-receptor complexes.

Indexed as

Drug DesignDrug Evaluation, PreclinicalHumansMolecular Docking SimulationMolecular Dynamics SimulationPoly(ADP-ribose) Polymerase InhibitorsPoly(ADP-ribose) Polymerase Inhibitorsdrug treatmentglioblastomanatural productsPARPvirtual screening

Identifiers

PMID33486472
PMCPMC7880371
OpenAlexW3122061297

What OpenQuestion 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 OpenQuestion graph.