Evidence map›Paper›PMID 39044065›Full record

ArticleMolecular biotechnology2025

Unified Aedes aegypti Protein Resource Database (UAAPRD): An Integrated High-Throughput In Silico Platform for Comprehensive Protein Structure Modeling and Functional Target Analysis to Enhance Vector Control Strategies.

Anagha S Setlur, Vidya Niranjan, Chandrashekar Karunakaran, Varun S Sambanni, Dileep Sharma, Karthik Pai

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Article in Molecular biotechnology, 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. Recent advances in therapeutic strategies of Erdheim-Chester disease.Naunyn-Schmiedeberg's archives of pharmacology · 2025
    Review
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

6 authors.

Anagha S SetlurDepartment of Biotechnology, RV College of Engineering affiliated to Visvesvaraya Technological University (VTU), Belagavi, 590018, India.
Vidya NiranjanDepartment of Biotechnology, RV College of Engineering affiliated to Visvesvaraya Technological University (VTU), Belagavi, 590018, India. vidya.n@rvce.edu.in.ORCID http://orcid.org/0000-0001-9187-7753
Chandrashekar KarunakaranDepartment of Biotechnology, RV College of Engineering affiliated to Visvesvaraya Technological University (VTU), Belagavi, 590018, India.
Varun S SambanniDepartment of Computer Science and Engineering, RV College of Engineering affiliated to Visvesvaraya Technological University (VTU), Belagavi, 590018, India.
Dileep SharmaDepartment of Information Science and Engineering, RV College of Engineering affiliated to Visvesvaraya Technological University (VTU), Belagavi, 590018, India.
Karthik PaiDepartment of Information Science and Engineering, RV College of Engineering affiliated to Visvesvaraya Technological University (VTU), Belagavi, 590018, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A comprehensive examination of Aedes aegypti's proteome to detect key proteins that can be targeted with small molecules can disrupt blood feeding and disease transmission. However, research currently only focuses on finding repellent-like compounds, limiting studies on identifying unexplored proteins in its proteome. High-throughput analysis generates vast amounts of data, raising concerns about accessibility and usability. Establishing a dedicated database is a solution, centralizing information on identified proteins, functions, and modeled structures for easy access and research. This study focuses on scrutinizing key proteins in A. aegypti, modeling their structures using RaptorX standalone tool, identification of druggable binding sites using BiteNet, validating the models via Ramachandran plot studies and refining them via 50-ns molecular dynamic simulations using Schrodinger Maestro. By analyzing ~ 18 k proteins in the proteome of A. aegypti in our previous studies, all proteins involved in the light and dark circadian rhythm of the mosquito, inclusive of proteins in blood feeding, metabolism, etc. were chosen for the current study. The outcome is UAAPRD, a unique repository housing information on hundreds of previously unmodeled and un-simulated mosquito proteins. This robust MYSQL database ( https://uaaprd.onrender.com/user ) houses data on 309 modeled & simulated proteins of A. aegypti. It allows users to obtain protein data, view evolutionary analysis data of the protein categories, visualize proteins of interest, and send request to screen against the pharmacophore models present in UAAPRD against ligand of interest. This study offers crucial insights for developing targeted studies, which will ultimately contribute to more effective vector control strategies.

Indexed as

AedesDatabases, ProteinInsect ProteinsMosquito VectorsAnimalsComputer SimulationMolecular Dynamics SimulationMosquito ControlProteomeInsect ProteinsProteomeAedes aegyptiDatabaseEvolutionary analysisModeling and validationMySQLPharmacophore models

Identifiers

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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.