Evidence map›Paper›PMID 41642403›Full record

ArticleApplied biochemistry and biotechnology2026

Computational Discovery of NPA001937: A Novel Carotenoid Targeting Conserved Insect Proteins for Sustainable Pest Management.

Julie Rebecca Joseph Mathari, Habeeb Shaik Mohideen

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Article in Applied biochemistry and biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Julie Rebecca Joseph MathariBioinformatics and Integrative Omics Laboratory, Department of Genetic Engineering, School of Bioengineering, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu, Chennai-, 603203, Tamil Nadu, India.
Habeeb Shaik MohideenBioinformatics and Integrative Omics Laboratory, Department of Genetic Engineering, School of Bioengineering, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu, Chennai-, 603203, Tamil Nadu, India. habeeb_skm@yahoo.co.in.ORCID http://orcid.org/0000-0003-4217-5063

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of insecticide resistance in pests affecting cotton and other key crops presents an escalating challenge to global agriculture, resulting in considerable declines in both yield and quality. Resistance mechanisms, including target site mutations and improved detoxification processes, have diminished the effectiveness of traditional insecticides. This study identified NPA001937 (di-O-demethylspirilloxanthin), a bacterial carotenoid obtained from the Natural Products Atlas, as a promising natural insecticidal compound. Employing in silico methods, we focused on three essential insect targets: Ryanodine Receptor (RyR), Arginine Kinase (ArgK), and Serine/Threonine Protein Phosphatase (STPP), which are known for their conserved sequences and structures across various pest species. Structural models were produced using AlphaFold2 and SwissModel, followed by validation through SAVES. The virtual screening of 30,052 natural products conducted with AutoDock Vina revealed NPA001937 as a leading binder to all three targets. Subsequent 500 ns molecular dynamics simulations (GROMACS) validated the stability and advantageous interaction profiles of the ligand- protein complexes. This compound presents several advantages over chemical insecticides, including its natural origin, ability to target multiple pathways, and a lower chance of resistance development. The results emphasize the effectiveness of computational methods in speeding up the discovery of agrochemicals which upon further experimental validation may serve as ecofriendly options for sustainable pest management.

Indexed as

Arginine KinaseInsectaInsecticidesInsect ProteinsAnimalsMolecular Docking SimulationMolecular Dynamics SimulationPhosphoprotein PhosphatasesRyanodine Receptor Calcium Release ChannelArginine KinaseInsecticidesInsect ProteinsPhosphoprotein PhosphatasesRyanodine Receptor Calcium Release ChannelAlphafold2Arginine kinasedi-O-demethylspirilloxanthinGROMACSPesticide resistanceRyanodine receptorSDG12Serine-Threonine protein phosphatase

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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.