Evidence mapPaperPMID 41212441Full record

ArticleJournal of computer-aided molecular design2025

Integrated computational and experimental evaluation of grossamide as a natural product scaffold for dual carbohydrase inhibition in diabetes.

Muhammad Javid Iqbal, Marcus Vinicius Xavier Senra, Cecilia Villegas, Viviana Burgos, Cristian Paz

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Article in Journal of computer-aided molecular design, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. 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.

Muhammad Javid IqbalDoctoral Program in Sciences, Specialization in Applied Cellular and Molecular Biology, Universidad de La Frontera, 4811230, Temuco, Chile. m.iqbal01@ufromail.cl.
Marcus Vinicius Xavier SenraCentro de Ciências Naturais E Humanas, Universidade Federal Do ABC, Santo André, São Paulo, 09210-580, Brazil.
Cecilia VillegasDepartment of Biological and Chemical Sciences, Faculty of Natural Resources, Universidad Católica de Temuco, Rudecindo Ortega 02950, 4780000, Temuco, Chile.
Viviana BurgosSchool of Medical Technology, Faculty of Health, Universidad Santo Tomas , Temuco, Chile.
Cristian PazLaboratory of Natural Products & Drug Discovery, Department of Basic Sciences, Faculty of Medicine, Universidad de La Frontera, 4780000, Temuco, Chile. cristian.paz@ufrontera.cl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the widespread use of Grossamide-containing plants in traditional medicine and its documented anti-inflammatory and metabolic regulatory properties, this lignanamide's potential as an antidiabetic agent remains unexplored. Current α-glucosidase inhibitors like acarbose suffer from poor patient compliance due to severe gastrointestinal side effects, creating an urgent need for better-tolerated alternatives. This study investigated whether Grossamide's unique structural features and established bioactivities could translate into clinically relevant carbohydrase inhibition. Through integrated computational and experimental approaches, we demonstrate that Grossamide exhibits potent dual inhibition of α-amylase (IC

Indexed as

alpha-AmylasesBiological ProductsDiabetes MellitusEnzyme InhibitorsGlycoside Hydrolase InhibitorsHypoglycemic Agentsalpha-GlucosidasesHumansMolecular Docking SimulationMolecular Dynamics SimulationStructure-Activity Relationshipalpha-Amylasesalpha-GlucosidasesBiological ProductsEnzyme InhibitorsGlycoside Hydrolase InhibitorsHypoglycemic AgentsComputer-aided drug designDiabetes mellitusGrossamideMolecular dynamicsα-Amylaseα-Glucosidase

Identifiers

What Socratic holds

Textmetadata
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 Socratic graph.