Evidence map›Paper›PMID 34803460›Full record

ArticleTurkish journal of biology = Turk biyoloji dergisi2021

Screening of the small molecule library of Meinox enables the identification of anticancer compounds in pathologically distinct cancers.

Aynura Mammadova, Arif Mermer, Fatih Kocabaş

Open access · diamondAbstract read
In one paragraph

Article in Turkish journal of biology = Turk biyoloji dergisi, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 88% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. 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 at 1 institution in 1 country.

Aynura MammadovaDepartment of Genetics and Bioengineering, Faculty of Engineering, Yeditepe University, İstanbul Turkey.ORCID https://orcid.org/0000-0003-0569-9482
Arif MermerBiotechnology Department, Hamidiye Health Sciences Institute, Health Sciences University, İstanbul Turkey.ORCID https://orcid.org/0000-0002-4789-7180
Fatih KocabaşDepartment of Genetics and Bioengineering, Faculty of Engineering, Yeditepe University, İstanbul Turkey.ORCID https://orcid.org/0000-0001-8096-6056
Université de Strasbourg · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Small molecules are widely used for the modulation of the molecular basis of diseases. This makes them the perfect tool for discovering and developing new therapeutics. In this work, we have established a library of small molecules in house and characterized its molecular and druglike properties. We have shown that most small molecules have molecular weights less than 450. They have pharmaceutically relevant cLogP, cLogS, and druglikeness value distributions. In addition, Meinox's small molecule library contained small molecules with polar surface areas that are less than 60 square angstroms, suggesting their potent ability to cross the blood-brain barrier. Meinox's small molecule library was also tested in vitro for pathologically distinct forms of cancer, including pancreatic adenocarcinoma PANC1, breast carcinoma MCF7, and lymphoblastic carcinoma RS4-11 cell lines. Analysis of this library at a dose of 1 μM allowed the discovery of potent, specific or broadly active anticancer compounds against pathologically distinct cancers. This study shows that in vitro analysis of different cancers or other phenotypic assays with Meinox small molecule library may generate novel and potent bioassay-specific compounds.

Indexed as

cytotoxicityMeinox small molecule libraryScreeningsmall molecules

Identifiers

PMID34803460
PMCPMC8574190
OpenAlexW3216191809

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.