Evidence map›Paper›PMID 28064377›Full record

ArticleJournal of molecular modeling2017

Octopus: a platform for the virtual high-throughput screening of a pool of compounds against a set of molecular targets.

Eduardo Habib Bechelane Maia, Vinícius Alves Campos, Bianca Dos Reis Santos, Marina Santos Costa, Iann Gabriel Lima, Sandro J Greco, Rosy I M A Ribeiro, Felipe M Munayer, Alisson Marques da Silva, Alex Gutterres Taranto

Abstract read
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In one paragraph

Article in Journal of molecular modeling, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
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

14 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Review
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  4. Article
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  8. In vitro and in silico assessment of new beta amino ketones with antiplasmodial activity.Revista da Sociedade Brasileira de Medicina Tropical · 2022
    Article
  9. Dehydrobufotenin extracted from the Amazonian toadThe journal of venomous animals and toxins including tropical diseases · 2021
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. 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

10 authors at 2 institutions in 1 country.

Eduardo Habib Bechelane MaiaUniversidade Federal de São João del Rei-Campus Centro-Oeste, Divinópolis, MG, Brazil.
Vinícius Alves CamposUniversidade Federal de São João del Rei-Campus Centro-Oeste, Divinópolis, MG, Brazil.
Bianca Dos Reis SantosUniversidade Federal de São João del Rei-Campus Centro-Oeste, Divinópolis, MG, Brazil.
Marina Santos CostaUniversidade Federal de São João del Rei-Campus Centro-Oeste, Divinópolis, MG, Brazil.
Iann Gabriel LimaUniversidade Federal de São João del Rei-Campus Centro-Oeste, Divinópolis, MG, Brazil.
Sandro J GrecoUniversidade Federal do Espírito Santo-UFES, Vitória, ES, Brazil.
Rosy I M A RibeiroUniversidade Federal de São João del Rei-Campus Centro-Oeste, Divinópolis, MG, Brazil.
Felipe M MunayerUniversidade Federal do Espírito Santo-UFES, Vitória, ES, Brazil.
Alisson Marques da SilvaUniversidade Federal do Espírito Santo-UFES, Vitória, ES, Brazil.
Alex Gutterres TarantoUniversidade Federal de São João del Rei-Campus Centro-Oeste, Divinópolis, MG, Brazil. labqf_ufsj@ufsj.edu.br.
Federal University of São João del-Rei · BRUniversidade Federal do Espírito Santo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Octopus is an automated workflow management tool that is scalable for virtual high-throughput screening (vHTS). It integrates MOPAC2016, MGLTools, PyMOL, and AutoDock Vina. In contrast to other platforms, Octopus can perform docking simulations of an unlimited number of compounds into a set of molecular targets. After generating the ligands in a drawing package in the Protein Data Bank (PDB) format, Octopus can carry out geometry refinement using the semi-empirical method PM7 implemented in MOPAC2016. Docking simulations can be performed using AutoDock Vina and can utilize the Our Own Molecular Targets (OOMT) databank. Finally, the proposed software compiles the best binding energies into a standard table. Here, we describe two successful case studies that were verified by biological assay. In the first case study, the vHTS process was carried out for 22 (phenylamino)urea derivatives. The vHTS process identified a metalloprotease with the PDB code 1GKC as a molecular target for derivative LE&007. In a biological assay, compound LE&007 was found to inhibit 80% of the activity of this enzyme. In the second case study, compound Tx001 was submitted to the Octopus routine, and the results suggested that Plasmodium falciparum ATP6 (PfATP6) as a molecular target for this compound. Following an antimalarial assay, Tx001 was found to have an inhibitory concentration (IC

Indexed as

DockingStructure-based drug designVirtual screening

Identifiers

PMID28064377
OpenAlexW2570602609

What OpenQuestion 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 OpenQuestion graph.