Evidence map›Paper›PMID 40979646›Full record

ArticleIn silico pharmacology2025

In silico ligand self-assembly drives binding recognition of natural products into

Angelina I Makaye, Lucas Paul, Said A H Vuai, Daniel M Shadrack

Abstract read
In one paragraph

Article in In silico pharmacology, 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

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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

4 authors.

Angelina I MakayeDepartment of Chemistry, College of Natural and Mathematical Sciences, University of Dodoma, P. O. Box 338, Dodoma, Tanzania.
Lucas PaulDepartment of Chemistry, Dar es Salaam University College of Education, P. O. Box 2329, Dar es Salaam, Tanzania.
Said A H VuaiDepartment of Chemistry, College of Natural and Mathematical Sciences, University of Dodoma, P. O. Box 338, Dodoma, Tanzania.
Daniel M ShadrackDepartment of Chemistry, Faculty of Natural and Applied Sciences, St. John's University of Tanzania, P. O. Box 47, Dodoma, Tanzania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Malaria remains one of the most devastating diseases affecting humanity, generating a significant interest in developing effective and reliable interventions. Synthetic insecticides widely used for vector control face limitations due to increased insect resistance and toxicity to humans and non-target species. Indole alkaloids, recognized for their insecticidal properties, have emerged as promising alternatives, however, their molecular mechanisms and efficacy for malaria vector control have not been fully explored or documented. AgSULT-001425, a sulfotransferase enzyme crucial for mosquito development and reproductive success, represents a key target for disrupting mosquito survival. To investigate this, molecular docking, dynamics, and MMPBSA analyses were employed to explore the binding mechanisms, stability, and self-assembly of indole alkaloids with AgSULT-001425. The binding affinity was ranked as EP4 > ST6 > AS4 > SP4. Hydrated docking indicated that EP4-7R0U binding affinity improved significantly to - 10.41 kcal/mol, surpassing the binding affinity of the co-crystallized ligand by - 1.0 kcal/mol. ADME/T analysis confirmed drug-like properties and high bioavailability with adherence to Lipinski's rule of five. Stability analyses demonstrated minimal structural deviations, compact protein structures ensuring stable interactions. MMPBSA identified EP4 (- 94.83 kJ/mol) and ST6 (- 91.67 kJ/mol) as exhibiting the strongest binding energies. During self-assembly, SP4 achieved the shortest distance to the protein, whereas the free energy surface emphasized stable interactions for both EP4 and SP4. Based on these findings, the identified natural inhibitors demonstrate potential as lead compounds for developing more potent insecticides. However, experimental validation is needed to confirm their efficacy and optimize their properties for practical use. Supplementary Information: The online version contains supplementary material available at 10.1007/s40203-025-00403-8.

Indexed as

Anti-mosquito agentIndole alkaloidsIn silico

Identifiers

PMID40979646
PMCPMC12446164

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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.