Evidence map›Paper›PMID 39738711›Full record

ArticleScientific reports2024

Exploring purine analogues as inhibitors against Katanin, a microtubule severing enzyme using molecular modeling approach.

Vibhuti Saxena, Pruthanka Patil, Purva Khodke, Bajarang Vasant Kumbhar

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Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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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

4 authors.

Vibhuti Saxena *Department of Biological Sciences, Sunandan Divatia School of Science, SVKM's Narsee Monjee Institute of Management Studies (NMIMS) Deemed-to-be University, Vile Parle (West), Mumbai, 400056, Maharashtra, India.
Pruthanka Patil *Department of Biological Sciences, Sunandan Divatia School of Science, SVKM's Narsee Monjee Institute of Management Studies (NMIMS) Deemed-to-be University, Vile Parle (West), Mumbai, 400056, Maharashtra, India.
Purva KhodkeDepartment of Biological Sciences, Sunandan Divatia School of Science, SVKM's Narsee Monjee Institute of Management Studies (NMIMS) Deemed-to-be University, Vile Parle (West), Mumbai, 400056, Maharashtra, India.
Bajarang Vasant KumbharDepartment of Biological Sciences, Sunandan Divatia School of Science, SVKM's Narsee Monjee Institute of Management Studies (NMIMS) Deemed-to-be University, Vile Parle (West), Mumbai, 400056, Maharashtra, India. bajarang.kumbhar@nmims.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Katanin, a key protein in cellular architecture, plays a crucial role in severing microtubules, which are vital components of the cytoskeleton. Given its central involvement in cell division and proliferation, katanin represents a promising target for therapeutic intervention, particularly in cancer treatment. Inhibiting katanin's function could potentially hinder the uncontrolled growth of cancerous cells, making it an attractive target for novel anti-cancer therapies. Previous studies have shown that purine-based compounds exhibit a strong affinity for microtubule-severing enzymes. In this study, we aim to identify potential purine-type inhibitors of katanin using molecular modeling techniques. A total of 276,280 purine-type compounds from the PubChem database were subjected to structure-based high-throughput virtual screening, followed by ADME prediction, PASS analysis, and molecular docking studies. These efforts led to the identification of two potent compounds: PubChem CID 122589735 and 123629569, which demonstrated strong binding interactions with katanin. Molecular dynamics simulations further revealed that these compounds effectively altered katanin's conformation when compared to ATP. Additionally, binding energy calculations indicated that PubChem CID 122589735 exhibited the strongest binding affinity for katanin, with the binding free energy ranking as follows: 122589735 > 123629569 > ATP. Our findings suggest that the screened compounds, particularly PubChem CID 122589735, hold promise as potential katanin inhibitor. These compounds could play a significant role in the development of new anti-cancer therapies targeting a variety of carcinoma. Future research, including in vitro and in vivo studies, is essential to assess the efficacy and safety of these inhibitors, paving the way for innovative cancer treatments.

Indexed as

Adenosine TriphosphatasesEnzyme InhibitorsKataninMolecular Docking SimulationMolecular Dynamics SimulationPurinesHumansMicrotubulesModels, MolecularProtein BindingAdenosine TriphosphatasesEnzyme InhibitorsKataninPurinesKataninMicrotubuleMolecular dynamic simulationsPurine analoguesStructure-based drug design

Identifiers

PMID39738711
PMCPMC11686324

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