Evidence map›Paper›PMID 36928801›Full record

ArticlePloS one2023

Identification of potential human pancreatic α-amylase inhibitors from natural products by molecular docking, MM/GBSA calculations, MD simulations, and ADMET analysis.

Santosh Basnet, Madhav Prasad Ghimire, Tika Ram Lamichhane, Rajendra Adhikari, Achyut Adhikari

Open access · goldFull text read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
8.9field-weighted citation impact, top 2% 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

18 citing papers in PubMed, 45 citations in OpenAlex.

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  17. Review
  18. ACS omega · 2023
    Article
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

5 authors at 2 institutions in 1 country.

Santosh BasnetCentral Department of Chemistry, Tribhuvan University, Kirtipur, Kathmandu, Nepal.ORCID 0000-0001-6009-2347
Madhav Prasad GhimireCentral Department of Physics, Tribhuvan University, Kirtipur, Kathmandu, Nepal.
Tika Ram LamichhaneCentral Department of Physics, Tribhuvan University, Kirtipur, Kathmandu, Nepal.ORCID 0000-0002-3422-0808
Rajendra AdhikariDepartment of Physics, Kathmandu University, Dhulikhel, Nepal.ORCID 0000-0001-6649-7097
Achyut AdhikariCentral Department of Chemistry, Tribhuvan University, Kirtipur, Kathmandu, Nepal.
Tribhuvan University · NPKathmandu University · NP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human pancreatic α-amylase (HPA), which works as a catalyst for carbohydrate hydrolysis, is one of the viable targets to control type 2 diabetes. The inhibition of α-amylase lowers blood glucose levels and helps to alleviate hyperglycemia complications. Herein, we systematically screened the potential HPA inhibitors from a library of natural products by molecular modeling. The modeling encompasses molecular docking, MM/GBSA binding energy calculations, MD simulations, and ADMET analysis. This research identified newboulaside B, newboulaside A, quercetin-3-O-β-glucoside, and sasastilboside A as the top four potential HPA inhibitors from the library of natural products, whose Glide docking scores and MM/GBSA binding energies range from -9.191 to -11.366 kcal/mol and -19.38 to -77.95 kcal/mol, respectively. Based on the simulation, among them, newboulaside B was found as the best HPA inhibitor. Throughout the simulation, with the deviation of 3Å (acarbose = 3Å), it interacted with ASP356, ASP300, ASP197, THR163, ARG161, ASP147, ALA106, and GLN63 via hydrogen bonding. Additionally, the comprehensive ADMET analysis revealed that it has good pharmacokinetic properties having not acutely toxic, moderately bioavailable, and non-inhibitor nature toward cytochrome P450. All the results suggest that newboulaside B might be a promising candidate for drug discovery against type 2 diabetes.

Indexed as

Biological ProductsDiabetes Mellitus, Type 2Computer SimulationGlycoside Hydrolase InhibitorsHumansMolecular Docking SimulationMolecular Dynamics SimulationBiological ProductsGlycoside Hydrolase Inhibitors

Identifiers

PMID36928801
PMCPMC10019617
OpenAlexW4327565265

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read14
identifiers read6
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.