Evidence map›Paper›PMID 38090100›Full record

ArticleRSC advances2023

Mol-Zero-GAN: zero-shot adaptation of molecular generative adversarial network for specific protein targets.

Ravipas Aphikulvanich, Natapol Pornputtapong, Duangdao Wichadakul

Abstract read
In one paragraph

Article in RSC advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Ravipas AphikulvanichDepartment of Computer Engineering, Faculty of Engineering, Chulalongkorn University Bangkok 10330 Thailand ravipas.apk@gmail.com.ORCID https://orcid.org/0009-0003-2242-9174
Natapol PornputtapongDepartment of Biochemistry and Microbiology, Faculty of Pharmaceutical Sciences, Chulalongkorn University Bangkok 10330 Thailand natapol.p@chula.ac.th.
Duangdao WichadakulDepartment of Computer Engineering, Faculty of Engineering, Chulalongkorn University Bangkok 10330 Thailand ravipas.apk@gmail.com.ORCID https://orcid.org/0000-0002-8802-2524

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug discovery is a process that finds new potential drug candidates for curing diseases and is also vital to improving the wellness of people. Enhancing deep learning approaches,

Identifiers

PMID38090100
PMCPMC10714197

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.