Evidence map›Paper›PMID 36016718›Full record

ArticleComputational and structural biotechnology journal2022

DenovoProfiling: A webserver for

Zhihong Liu, Jiewen Du, Ziying Lin, Ze Li, Bingdong Liu, Zongbin Cui, Jiansong Fang, Liwei Xie

Open access · goldAbstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 51% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 4 institutions in 1 country.

Zhihong LiuSchool of Public Health, Xinxiang Medical University, Xinxiang, China.
Jiewen DuBeijing Jingpai Technology Co., Ltd., 1500-1, Hailong Building Z-Park, Beijing 100090, China.
Ziying LinGuangdong Provincial Key Laboratory of Microbial Culture Collection and Application, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China.
Ze LiSchool of Public Health, Xinxiang Medical University, Xinxiang, China.
Bingdong LiuGuangdong Provincial Key Laboratory of Microbial Culture Collection and Application, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China.
Zongbin CuiGuangdong Provincial Key Laboratory of Microbial Culture Collection and Application, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China.
Jiansong FangScience and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China.
Liwei XieSchool of Public Health, Xinxiang Medical University, Xinxiang, China.
Guangdong Academy of Sciences · CNGuangzhou University of Chinese Medicine · CNJingdong (China) · CNXinxiang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Various deep learning-based architectures for molecular generation have been proposed for

Indexed as

DDR1, Discovered potent discoidin domain receptor 1Deep learningDe novo drug designDe novo molecule libraryFBDD, Fragment-based drug designFDR, False discovery rateGAN, Generative adversarial networksHTS, High throughput screeningLibrary profilingLSTM, Long short-term memoryPCA, Principal components analysisRNN, Recurrent neural networksSCA, Scaffold-based classification approachVAE, Variational autoencoders

Identifiers

PMID36016718
PMCPMC9379519
OpenAlexW4289526807

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.