Evidence map›Paper›PMID 24587765›Full record

ArticleTheScientificWorldJournal2014

Discovery of novel inhibitors for Nek6 protein through homology model assisted structure based virtual screening and molecular docking approaches.

P Srinivasan, P Chella Perumal, A Sudha

Abstract read
In one paragraph

Article in TheScientificWorldJournal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Screening of Potential Phytocompounds FromJournal of pharmacy & bioallied sciences
    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

3 authors.

P SrinivasanDepartment of Bioinformatics, Alagappa University, Karaikudi, Tamilnadu 630 004, India.
P Chella PerumalDepartment of Bioinformatics, Alagappa University, Karaikudi, Tamilnadu 630 004, India.
A SudhaDepartment of Bioinformatics, Alagappa University, Karaikudi, Tamilnadu 630 004, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nek6 is a member of the NIMA (never in mitosis, gene A)-related serine/threonine kinase family that plays an important role in the initiation of mitotic cell cycle progression. This work is an attempt to emphasize the structural and functional relationship of Nek6 protein based on homology modeling and binding pocket analysis. The three-dimensional structure of Nek6 was constructed by molecular modeling studies and the best model was further assessed by PROCHECK, ProSA, and ERRAT plot in order to analyze the quality and consistency of generated model. The overall quality of computed model showed 87.4% amino acid residues under the favored region. A 3 ns molecular dynamics simulation confirmed that the structure was reliable and stable. Two lead compounds (Binding database ID: 15666, 18602) were retrieved through structure-based virtual screening and induced fit docking approaches as novel Nek6 inhibitors. Hence, we concluded that the potential compounds may act as new leads for Nek6 inhibitors designing.

Indexed as

Molecular Docking SimulationQuantitative Structure-Activity RelationshipAmino Acid SequenceHumansMolecular Sequence DataNIMA-Related KinasesProtein BindingProtein Kinase InhibitorsProtein Serine-Threonine KinasesNEK6 protein, humanNIMA-Related KinasesProtein Kinase InhibitorsProtein Serine-Threonine Kinases

Identifiers

PMID24587765
PMCPMC3920677

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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.