Evidence map›Paper›PMID 34209011›Full record

ArticleMolecules (Basel, Switzerland)2021

In Silico Approach Using Free Software to Optimize the Antiproliferative Activity and Predict the Potential Mechanism of Action of Pyrrolizine-Based Schiff Bases.

Faisal A Almalki, Ashraf N Abdalla, Ahmed M Shawky, Mahmoud A El Hassab, Ahmed M Gouda

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2021. 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
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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.

Faisal A AlmalkiDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, Umm Al-Qura University, Makkah 21955, Saudi Arabia.ORCID 0000-0003-4048-1526
Ashraf N AbdallaDepartment of Pharmacology and Toxicology, Faculty of Pharmacy, Umm Al-Qura University, Makkah 21955, Saudi Arabia.ORCID 0000-0003-4770-9319
Ahmed M ShawkyScience and Technology Unit (STU), Umm Al-Qura University, Makkah 21955, Saudi Arabia.ORCID 0000-0002-3035-661X
Mahmoud A El HassabDepartment of Pharmaceutical Chemistry, School of Pharmacy, Badr University in Cairo (BUC), Cairo 11829, Egypt.
Ahmed M GoudaDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, Umm Al-Qura University, Makkah 21955, Saudi Arabia.

Funding

Deanship of Scientific Research at Umm Al-Qura University, Makkah, Kingdom of Saudi Arabia 19-MED-1-01-0001
6 · The paper itself

Abstract

In the current study, a simple in silico approach using free software was used with the experimental studies to optimize the antiproliferative activity and predict the potential mechanism of action of pyrrolizine-based Schiff bases. A compound library of 288 Schiff bases was designed based on compound

Indexed as

Antineoplastic AgentsModels, BiologicalMolecular Docking SimulationPyrrolesSoftwareCell Cycle CheckpointsDrug Screening Assays, AntitumorHT29 CellsHumansMCF-7 CellsSchiff BasesAntineoplastic AgentsPyrrolesSchiff Basesantiproliferativeapoptosiscell cycle analysisdocking studyMD simulationpharmacophore searchpyrrolizine

Identifiers

PMID34209011
PMCPMC8271847

What OpenQuestion holds

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Registered trials

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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.