Evidence map›Paper›PMID 34884548›Full record

ArticleInternational journal of molecular sciences2021

Generation of Non-Nucleotide CD73 Inhibitors Using a Molecular Docking and 3D-QSAR Approach.

Swapnil P Bhujbal, Jung-Mi Hah

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 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
0.7field-weighted citation impact, top 31% 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, 4 citations in OpenAlex.

  1. The Clinical Significance of CD73 in Cancer.International journal of molecular sciences · 2023
    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

2 authors at 1 institution in 1 country.

Swapnil P BhujbalCollege of Pharmacy, Hanyang University, Ansan 426-791, Korea.
Jung-Mi HahCollege of Pharmacy, Hanyang University, Ansan 426-791, Korea.
Hanyang University · KR

Funding

Hanyang University HY-2021National Research Foundation of Korea NRF-2020R1A6A1A03042854
6 · The paper itself

Abstract

Radiotherapy and chemotherapy are conventional cancer treatments. Around 60% of all patients who are diagnosed with cancer receive radio- or chemotherapy in combination with surgery during their disease. Only a few patients respond to the blockage of immune checkpoints alone, or in combination therapy, because their tumours might not be immunogenic. Under these circumstances, an increasing level of extracellular adenosine via the activation of ecto-5'-nucleotidase (CD73) and consequent adenosine receptor signalling is a typical mechanism that tumours use to evade immune surveillance. CD73 is responsible for the conversion of adenosine monophosphate to adenosine. CD73 is overexpressed in various tumour types. Hence, targetting CD73's signalling is important for the reversal of adenosine-facilitated immune suppression. In this study, we selected a potent series of the non-nucleotide small molecule inhibitors of CD73. Molecular docking studies were performed in order to examine the binding mode of the inhibitors inside the active site of CD73 and 3D-QSAR was used to study the structure-activity relationship. The obtained CoMFA (

Indexed as

Molecular Docking SimulationQuantitative Structure-Activity Relationship5'-NucleotidaseBinding SitesCatalytic DomainComputer SimulationEnzyme InhibitorsGPI-Linked ProteinsHumansModels, MolecularMolecular StructureProtein Binding5'-NucleotidaseEnzyme InhibitorsGPI-Linked ProteinsNT5E protein, human3D-QSARcancerCD73chemotherapyCoMFACoMSIAinhibitorsmolecular docking

Identifiers

PMID34884548
PMCPMC8657903
OpenAlexW3214927922

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.