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|a 10.1002/jcc.70225
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|a pubmed25n1560.xml
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|a DE-627
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|a eng
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|a Guariero, Fernando Loza
|e verfasserin
|4 aut
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|a PlasmoDocking
|b A User-Friendly Open-Source Web Tool for Virtual Screening Targeting Plasmodium falciparum Enzymes
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|c 2025
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|a Text
|b txt
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|a ƒaComputermedien
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|a Date Completed 04.09.2025
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|a Date Revised 07.09.2025
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|a published: Print
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|a Citation Status MEDLINE
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|a © 2025 The Author(s). Journal of Computational Chemistry published by Wiley Periodicals LLC.
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|a Virtual screening through molecular docking represents a fundamental computational methodology extensively employed in the identification of therapeutic compounds for malaria and other parasitic diseases. Although numerous software platforms are available, including AutodockGPU, the command-line interface requirements present significant barriers to non-specialized users, while multi-target screening protocols introduce additional complexity in receptor preparation procedures. To address these limitations, we developed Plasmodocking, a comprehensive web-based platform designed to automate molecular docking simulations against predefined Plasmodium falciparum targets (https://plasmodocking-unir.ecotechamazonia.com.br/). The platform enables users to submit up to 10 molecular structures (.sdf format) for automated AutodockGPU screening against 38 pre-configured parasite targets, facilitating systematic comparison of binding energies with co-crystallized ligands. Developed using Python and Next.js, Plasmodocking accelerates malaria drug discovery by enabling simultaneous multi-target docking simulations within a single experimental framework. The open-source codebase is available at: https://github.com/LABIOQUIM/PlasmoDocking-Client
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|a Journal Article
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|a Plasmodium falciparum
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|a AutodockGPU
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|a docking
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|a multi‐target
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|a web‐based tool
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|a Antimalarials
|2 NLM
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|a Ligands
|2 NLM
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|a Enzyme Inhibitors
|2 NLM
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|a Macedo, Eduardo Pantoja de
|e verfasserin
|4 aut
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|a Laia, Elise Bittencourt de
|e verfasserin
|4 aut
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|a Evaristo, Joseph Albert Medeiros
|e verfasserin
|4 aut
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|a Evaristo, Geisa Paulino Caprini
|e verfasserin
|4 aut
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|a Zanchi, Fernando Berton
|e verfasserin
|4 aut
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|i Enthalten in
|t Journal of computational chemistry
|d 1984
|g 46(2025), 23 vom: 05. Sept., Seite e70225
|w (DE-627)NLM098138448
|x 1096-987X
|7 nnas
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|g volume:46
|g year:2025
|g number:23
|g day:05
|g month:09
|g pages:e70225
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|u http://dx.doi.org/10.1002/jcc.70225
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