Evidence map›Paper›PMID 27534744›Full record

ArticleBMC structural biology2016

3D QSAR, pharmacophore and molecular docking studies of known inhibitors and designing of novel inhibitors for M18 aspartyl aminopeptidase of Plasmodium falciparum.

Madhulata Kumari, Subhash Chandra, Neeraj Tiwari, Naidu Subbarao

Open access · hybridAbstract read
In one paragraph

Article in BMC structural biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
5.4field-weighted citation impact, top 4% 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

6 citing papers in PubMed, 36 citations in OpenAlex.

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  5. Ellagic Acid, Kaempferol, and Quercetin fromCurrent pharmacology reports · 2019
    Review
  6. Serotonin 5-HTCNS drugs · 2017
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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

4 authors at 2 institutions in 1 country.

Madhulata KumariDepartment of Information Technology, Kumaun University, SSJ Campus, Almora, Uttarakhand, 263601, India.
Subhash ChandraDepartment of Botany, Kumaun University, SSJ Campus, Almora, Uttarakhand, 263601, India.
Neeraj TiwariDepartment of Statistics, Kumaun University, SSJ Campus, Almora, Uttarakhand, 263601, India.
Naidu SubbaraoSchool of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, 110067, India. nsrao@mail.jnu.ac.in.
Jawaharlal Nehru University · INKumaun University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Plasmodium falciparum M18 Aspartyl Aminopeptidase (PfM18AAP) is only aspartyl aminopeptidase which is found in the genome of P. falciparum and is essential for its survival. The PfM18AAP enzyme performs various functions in the parasite and the erythrocytic host such as hemoglobin digestion, erythrocyte invasion, parasite growth and parasite escape from the host cell. It is a valid target to develop antimalarial drugs. In the present work, we employed 3D QSAR modeling, pharmacophore modeling, and molecular docking to identify novel potent inhibitors that bind with M18AAP of P. falciparum.

resultsThe PLSR QSAR model showed highest value for correlation coefficient r(2) (88 %) and predictive correlation coefficient (pred_r2) =0.6101 for external test set among all QSAR models. The pharmacophore modeling identified DHRR (one hydrogen donor, one hydrophobic group, and two aromatic rings) as an essential feature of PfM18AAP inhibitors. The combined approach of 3D QSAR, pharmacophore, and structure-based molecular docking yielded 10 novel PfM18AAP inhibitors from ChEMBL antimalarial library, 2 novel inhibitors from each derivative of quinine, chloroquine, 8-aminoquinoline and 10 novel inhibitors from WHO antimalarial drugs. Additionally, high throughput virtual screening identified top 10 compounds as antimalarial leads showing G-scores -12.50 to -10.45 (in kcal/mol), compared with control compounds(G-scores -7.80 to -4.70) which are known antimalarial M18AAP inhibitors (AID743024). This result indicates these novel compounds have the best binding affinity for PfM18AAP.

conclusionThe 3D QSAR models of PfM18AAP inhibitors provided useful information about the structural characteristics of inhibitors which are contributors of the inhibitory potency. Interestingly, In this studies, we extrapolate that the derivatives of quinine, chloroquine, and 8-aminoquinoline, for which there is no specific target has been identified till date, might show the antimalarial effect by interacting with PfM18AAP.

Indexed as

AminoquinolinesAntimalarialsChloroquineDrug DesignGlutamyl AminopeptidaseHumansMalaria, FalciparumMolecular Docking SimulationPlasmodium falciparumQuantitative Structure-Activity Relationship8-aminoquinolineAminoquinolinesAntimalarialsChloroquineGlutamyl Aminopeptidase3D QSARHTVSkNN-MFAM18 aspartyl aminopeptidaseMolecular dockingPCRPharmacophore modelingPlasmodium falciparumPLSR

Identifiers

PMID27534744
PMCPMC4989538
OpenAlexW2511346829

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.