Evidence map›Paper›PMID 35220726›Full record

ArticleFuture medicinal chemistry2022

Design of SARS-CoV-2 Mpro, PLpro dual-target inhibitors based on deep reinforcement learning and virtual screening.

Li-Chuan Zhang, Hui-Lin Zhao, Jin Liu, Lei He, Ri-Lei Yu, Cong-Min Kang

Abstract read
In one paragraph

Article in Future medicinal chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. A Review of Extracellular Vesicles in COVID-19 Diagnosis, Treatment, and Prevention.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Review
  9. A Tale of Two Proteases: MPharmaceuticals (Basel, Switzerland) · 2023
    Review
  10. Diphenyl Diselenide and SARS-CoV-2:Journal of chemical information and modeling · 2023
    Article
  11. Article
  12. Review
  13. Article
  14. Review
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

6 authors.

Li-Chuan ZhangCollege of Chemical Engineering, Qingdao University of Science & Technology, Qingdao, 266042, China.
Hui-Lin ZhaoCollege of Chemical Engineering, Qingdao University of Science & Technology, Qingdao, 266042, China.
Jin LiuCollege of Chemical Engineering, Qingdao University of Science & Technology, Qingdao, 266042, China.
Lei HeCollege of Chemical Engineering, Qingdao University of Science & Technology, Qingdao, 266042, China.
Ri-Lei YuKey Laboratory of Marine Drugs, Chinese Ministry of Education, School of Medicine & Pharmacy, Ocean University of China, Qingdao, 266003, China.
Cong-Min KangCollege of Chemical Engineering, Qingdao University of Science & Technology, Qingdao, 266042, China.ORCID 0000-0003-3303-8286

Funding

National Natural Science Foundation of China 21272131
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Deep LearningDrug Evaluation, PreclinicalAntiviral AgentsHumansMolecular Docking SimulationMolecular Dynamics SimulationProtease InhibitorsSARS-CoV-2Antiviral AgentsProtease Inhibitorscovalent dockingdeep reinforcement learningdrug designmolecular dynamics simulationMproPLpro

Identifiers

PMID35220726
PMCPMC8920029

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.