Evidence map›Paper›PMID 38649596›Full record

ArticleAmino acids2024

Structural insights into the potential binding sites of Cathepsin D using molecular modelling techniques.

Subodh A Kamble, Sagar S Barale, Ali Abdulmawjood Mohammed, Sneha B Paymal, Nitin M Naik, Kailas D Sonawane

Open access · goldAbstract read
In one paragraph

Article in Amino acids, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

0 citing papers in PubMed, 6 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 1 institution in 1 country.

Subodh A KambleStructural Bioinformatics Unit, Department of Biochemistry, Shivaji University, Kolhapur, M.S., 416004, India.
Sagar S BaraleDepartment of Microbiology, Shivaji University, 416004, M.S., Kolhapur, India.
Ali Abdulmawjood MohammedStructural Bioinformatics Unit, Department of Biochemistry, Shivaji University, Kolhapur, M.S., 416004, India.
Sneha B PaymalDepartment of Microbiology, Shivaji University, 416004, M.S., Kolhapur, India.
Nitin M NaikDepartment of Microbiology, Shivaji University, 416004, M.S., Kolhapur, India.
Kailas D SonawaneStructural Bioinformatics Unit, Department of Biochemistry, Shivaji University, Kolhapur, M.S., 416004, India. kds_biochem@unishivaji.ac.in.
Shivaji University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) is the most prevalent type of dementia caused by the accumulation of amyloid beta (Aβ) peptides. The extracellular deposition of Aβ peptides in human AD brain causes neuronal death. Therefore, it has been found that Aβ peptide degradation is a possible therapeutic target for AD. CathD has been known to breakdown amyloid beta peptides. However, the structural role of CathD is not yet clear. Hence, for the purpose of gaining a deeper comprehension of the structure of CathD, the present computational investigation was performed using virtual screening technique to predict CathD's active site residues and substrate binding mode. Ligand-based virtual screening was implemented on small molecules from ZINC database against crystal structure of CathD. Further, molecular docking was utilised to investigate the binding mechanism of CathD with substrates and virtually screened inhibitors. Localised compounds obtained through screening performed by PyRx and AutoDock 4.2 with CathD receptor and the compounds having highest binding affinities were picked as; ZINC00601317, ZINC04214975 and ZINCC12500925 as our top choices. The hydrophobic residues Viz. Gly35, Val31, Thr34, Gly128, Ile124 and Ala13 help stabilising the CathD-ligand complexes, which in turn emphasises substrate and inhibitor selectivity. Further, MM-GBSA approach has been used to calculate binding free energy between CathD and selected compounds. Therefore, it would be beneficial to understand the active site pocket of CathD with the assistance of these discoveries. Thus, the present study would be helpful to identify active site pocket of CathD, which could be beneficial to develop novel therapeutic strategies for the AD.

Indexed as

Cathepsin DMolecular Docking SimulationAlzheimer DiseaseBinding SitesCatalytic DomainHumansLigandsModels, MolecularProtein BindingCathepsin DCTSD protein, humanLigandsAlzheimer’s disease (AD)Amyloid beta (Aβ)Cathepsin D (CathD)MD simulationMM-GBSAVirtual screening

Identifiers

PMID38649596
PMCPMC11035400
OpenAlexW4395012842

What OpenQuestion holds

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LicenceCC BY
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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.