Evidence map›Paper›PMID 35110603›Full record

ArticleScientific reports2022

Identification of novel leads as potent inhibitors of HDAC3 using ligand-based pharmacophore modeling and MD simulation.

Navanath Kumbhar, Snehal Nimal, Sagar Barale, Subodh Kamble, Rohit Bavi, Kailas Sonawane, Rajesh Gacche

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

11 citing papers in PubMed, 36 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

Navanath KumbharDepartment of Biotechnology, Savitribai Phule Pune University Pune, Pune, Maharashtra (MS), 411007, India.
Snehal NimalDepartment of Biotechnology, Savitribai Phule Pune University Pune, Pune, Maharashtra (MS), 411007, India.
Sagar BaraleDepartment of Microbiology, Shivaji University, Kolhapur, Maharashtra (MS), 416004, India.
Subodh KambleStructural Bioinformatics Unit, Department of Biochemistry, Shivaji University, Kolhapur, Maharashtra (MS), 416004, India.
Rohit BaviSchool of Chemical Science, Punyashlok Ahilyadevi Holkar Solapur University, Solapur, Maharashtra (MS), 413255, India.
Kailas SonawaneDepartment of Microbiology, Shivaji University, Kolhapur, Maharashtra (MS), 416004, India.
Rajesh GaccheDepartment of Biotechnology, Savitribai Phule Pune University Pune, Pune, Maharashtra (MS), 411007, India. rngacche@unipune.ac.in.
Savitribai Phule Pune University · INShivaji University · INSolapur University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the landscape of epigenetic regulation, histone deacetylase 3 (HDAC3) has emerged as a prominent therapeutic target for the design and development of candidate drugs against various types of cancers and other human disorders. Herein, we have performed ligand-based pharmacophore modeling, virtual screening, molecular docking, and MD simulations to design potent and selective inhibitors against HDAC3. The predicted best pharmacophore model 'Hypo 1' showed excellent correlation (R

Indexed as

Computer-Aided DesignDrug DesignMolecular Docking SimulationBinding SitesHistone Deacetylase 3Histone Deacetylase InhibitorsHistone DeacetylasesHumansHydrogen BondingHydrophobic and Hydrophilic InteractionsLigandsMolecular Dynamics SimulationProtein BindingProtein ConformationStructure-Activity RelationshipHistone Deacetylase 3Histone Deacetylase InhibitorsHistone DeacetylasesLigands

Identifiers

PMID35110603
PMCPMC8810932
OpenAlexW4210776021

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.