Evidence map›Paper›PMID 35211272›Full record

ArticleChemical science2022

wSDTNBI: a novel network-based inference method for virtual screening.

Zengrui Wu, Hui Ma, Zehui Liu, Lulu Zheng, Zhuohang Yu, Shuying Cao, Wenqing Fang, Lili Wu, Weihua Li, Guixia Liu and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Chemical science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 40 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

12 authors at 1 institution in 1 country.

Zengrui WuShanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Pharmacy, East China University of Science and Technology 130 Meilong Road Shanghai 200237 China ytang234@ecust.edu.cn huangjin@ecust.edu.cn.ORCID https://orcid.org/0000-0003-3095-6006
Hui MaShanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Pharmacy, East China University of Science and Technology 130 Meilong Road Shanghai 200237 China ytang234@ecust.edu.cn huangjin@ecust.edu.cn.
Zehui LiuShanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Pharmacy, East China University of Science and Technology 130 Meilong Road Shanghai 200237 China ytang234@ecust.edu.cn huangjin@ecust.edu.cn.
Lulu ZhengShanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Pharmacy, East China University of Science and Technology 130 Meilong Road Shanghai 200237 China ytang234@ecust.edu.cn huangjin@ecust.edu.cn.
Zhuohang YuShanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Pharmacy, East China University of Science and Technology 130 Meilong Road Shanghai 200237 China ytang234@ecust.edu.cn huangjin@ecust.edu.cn.
Shuying CaoShanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Pharmacy, East China University of Science and Technology 130 Meilong Road Shanghai 200237 China ytang234@ecust.edu.cn huangjin@ecust.edu.cn.
Wenqing FangShanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Pharmacy, East China University of Science and Technology 130 Meilong Road Shanghai 200237 China ytang234@ecust.edu.cn huangjin@ecust.edu.cn.
Lili WuShanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Pharmacy, East China University of Science and Technology 130 Meilong Road Shanghai 200237 China ytang234@ecust.edu.cn huangjin@ecust.edu.cn.
Weihua LiShanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Pharmacy, East China University of Science and Technology 130 Meilong Road Shanghai 200237 China ytang234@ecust.edu.cn huangjin@ecust.edu.cn.ORCID https://orcid.org/0000-0001-7055-9836
Guixia LiuShanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Pharmacy, East China University of Science and Technology 130 Meilong Road Shanghai 200237 China ytang234@ecust.edu.cn huangjin@ecust.edu.cn.ORCID https://orcid.org/0000-0002-7663-0661
Jin HuangShanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Pharmacy, East China University of Science and Technology 130 Meilong Road Shanghai 200237 China ytang234@ecust.edu.cn huangjin@ecust.edu.cn.ORCID https://orcid.org/0000-0002-0698-1693
Yun TangShanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Pharmacy, East China University of Science and Technology 130 Meilong Road Shanghai 200237 China ytang234@ecust.edu.cn huangjin@ecust.edu.cn.ORCID https://orcid.org/0000-0003-2340-1109
East China University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, the rapid development of network-based methods for the prediction of drug-target interactions (DTIs) provides an opportunity for the emergence of a new type of virtual screening (VS), namely, network-based VS. Herein, we reported a novel network-based inference method named wSDTNBI. Compared with previous network-based methods that use unweighted DTI networks, wSDTNBI uses weighted DTI networks whose edge weights are correlated with binding affinities. A two-pronged approach based on weighted DTI and drug-substructure association networks was employed to calculate prediction scores. To show the practical value of wSDTNBI, we performed network-based VS on retinoid-related orphan receptor γt (RORγt), and purchased 72 compounds for experimental validation. Seven of the purchased compounds were confirmed to be novel RORγt inverse agonists by

Identifiers

PMID35211272
PMCPMC8790893
OpenAlexW4200334558

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.