Evidence map›Paper›PMID 27438821›Full record

ReviewMolecules (Basel, Switzerland)2016

Computational Approaches for the Discovery of Human Proteasome Inhibitors: An Overview.

Romina A Guedes, Patrícia Serra, Jorge A R Salvador, Rita C Guedes

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Molecular and clinical oncology · 2026
    Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
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  15. Article
  16. Review
  17. Combination of Virtual Screening Protocol byFrontiers in chemistry · 2018
    Article
  18. Article
  19. 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.

Romina A GuedesiMed.ULisboa, Research Institute for Medicines, Faculdade de Farmácia da Universidade de Lisboa, Av. Prof. Gama Pinto, 1649-003 Lisboa, Portugal. rpaguedes@gmail.com.
Patrícia SerraiMed.ULisboa, Research Institute for Medicines, Faculdade de Farmácia da Universidade de Lisboa, Av. Prof. Gama Pinto, 1649-003 Lisboa, Portugal. patriciafaserra@gmail.com.
Jorge A R SalvadorLaboratório de Química Farmacêutica, Faculdade de Farmácia da Universidade de Coimbra, Pólo das Ciências da Saúde-Azinhaga de Santa Comba, 3000-548 Coimbra, Portugal. salvador@ci.uc.pt.
Rita C GuedesiMed.ULisboa, Research Institute for Medicines, Faculdade de Farmácia da Universidade de Lisboa, Av. Prof. Gama Pinto, 1649-003 Lisboa, Portugal. rguedes@ff.ulisboa.pt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proteasome emerged as an important target in recent pharmacological research due to its pivotal role in degrading proteins in the cytoplasm and nucleus of eukaryotic cells, regulating a wide variety of cellular pathways, including cell growth and proliferation, apoptosis, DNA repair, transcription, immune response, and signaling processes. The last two decades witnessed intensive efforts to discover 20S proteasome inhibitors with significant chemical diversity and efficacy. To date, the US FDA approved to market three proteasome inhibitors: bortezomib, carfilzomib, and ixazomib. However new, safer and more efficient drugs are still required. Computer-aided drug discovery has long being used in drug discovery campaigns targeting the human proteasome. The aim of this review is to illustrate selected in silico methods like homology modeling, molecular docking, pharmacophore modeling, virtual screening, and combined methods that have been used in proteasome inhibitors discovery. Applications of these methods to proteasome inhibitors discovery will also be presented and discussed to raise improvements in this particular field.

Indexed as

Computer SimulationDrug DiscoveryAntineoplastic AgentsBinding SitesCatalytic DomainDrug DesignHumansMolecular ConformationMolecular Docking SimulationMolecular Dynamics SimulationMolecular StructureProteasome Endopeptidase ComplexProteasome InhibitorsProtein BindingAntineoplastic AgentsProteasome Endopeptidase ComplexProteasome Inhibitorscancercomputer-aided drug designmolecular dockingpharmacophore modelproteasome inhibitorsvirtual screening

Identifiers

PMID27438821
PMCPMC6274525

What OpenQuestion holds

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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.