Evidence map›Paper›PMID 37570884›Full record

ArticleMolecules (Basel, Switzerland)2023

Computer-Aided Drug Design of Novel Derivatives of 2-Amino-7,9-dihydro-8H-purin-8-one as Potent Pan-Janus JAK3 Inhibitors.

Abdelmoujoud Faris, Ibrahim M Ibrahim, Omkulthom Al Kamaly, Asmaa Saleh, Menana Elhallaoui

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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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

5 authors.

Abdelmoujoud FarisLIMAS, Department of Chemical Sciences, Faculty of Sciences Dhar El Mahraz, Sidi Mohamed Ben Abdellah University, Fez 30000, Morocco.ORCID 0000-0003-0781-6523
Ibrahim M IbrahimBiophysics Department, Faculty of Science, Cairo University, Cairo 12613, Egypt.
Omkulthom Al KamalyDepartment of Pharmaceutical Sciences, College of Pharmacy, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.ORCID 0000-0003-4706-4311
Asmaa SalehDepartment of Pharmaceutical Sciences, College of Pharmacy, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
Menana ElhallaouiLIMAS, Department of Chemical Sciences, Faculty of Sciences Dhar El Mahraz, Sidi Mohamed Ben Abdellah University, Fez 30000, Morocco.

Funding

Princess Nourah bint Abdulrahman University PNURSP2023R141
6 · The paper itself

Abstract

Rheumatoid arthritis (RA) remains one of the most prevalent autoimmune diseases worldwide. Janus kinase 3 (JAK3) is an essential enzyme for treating autoimmune diseases, including RA. Molecular modeling techniques play a crucial role in the search for new drugs by reducing time delays. In this study, the 3D-QSAR approach is employed to predict new JAK3 inhibitors. Two robust models, both field-based with R

Indexed as

2-AminopurineAntirheumatic AgentsComputer-Aided DesignDrug DesignJanus Kinase 3Janus Kinase InhibitorsArthritis, RheumatoidPharmacophorePiperidinesPyrimidinesQuantitative Structure-Activity Relationship2-AminopurineAntirheumatic AgentsJanus Kinase 3Janus Kinase InhibitorsPiperidinesPyrimidinestofacitinib3D-QSARcancercomputational modelingdrug discoveryJAK3MM/GBSArheumatoid arthritis

Identifiers

PMID37570884
PMCPMC10473238

What OpenQuestion holds

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LicenceCC BY
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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.