Evidence map›Paper›PMID 28432357›Full record

ArticleScientific reports2017

In-Silico Drug discovery approach targeting receptor tyrosine kinase-like orphan receptor 1 for cancer treatment.

Onkar Nath, Archana Singh, Indrakant K Singh

Abstract read
In one paragraph

Article in Scientific reports, 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
–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

14 citing papers in PubMed.

  1. Article
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  7. Review
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  11. Article
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  14. In Silico and in vitro Characterization ofIranian journal of pharmaceutical research : IJPR
    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.

Onkar NathJawaharlal Nehru University, SCIS, New Delhi, 110067, India.
Archana SinghDepartment of Botany, Hans Raj College, University of Delhi, Delhi, 110007, India.
Indrakant K SinghMolecular Biology Research Lab, Department of Zoology, Deshbandhu College, University of Delhi, Kalkaji, New Delhi, 110019, India. iksingh@db.du.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Receptor tyrosine kinases (RTK) are important cell signaling molecules that influence many cellular processes. Receptor tyrosine kinase such as orphan receptor 1 (Ror1), a surface antigen, is a member of the RTK family of Ror, which plays a crucial role in cancers that have high-grade histology. As Ror1 has been implicated to be a potential target for cancer therapy, we selected this protein for further investigation. The secondary and tertiary structure of this protein was determined, which revealed that this protein contained three β-sheets, seven α-helices, and coils. The prediction of the active site revealed its cage-like function that opens for ligand entry and then closes for interacting with the ligands. Optimized ligands from the database were virtually screened to obtain the most efficient and potent ones. The screened ligands were evaluated for their therapeutic usefulness. Furthermore, the ligands that passed the test were docked to the target protein resulting in a few ligands with high score, which were analyzed further. The highest scoring ligand, Beta-1, 2,3,4,6-Penta-O-Galloyl-D-Glucopyranose was reported to be a naturally occurring tannin. This in silico approach indicates the potential of this molecule for advancing a further step in cancer treatment.

Indexed as

Antineoplastic AgentsCatalytic DomainComputer SimulationDrug Screening Assays, AntitumorHumansHydrogen BondingModels, MolecularMolecular Docking SimulationProtein Kinase InhibitorsProtein Structure, SecondaryReceptor Tyrosine Kinase-like Orphan ReceptorsAntineoplastic AgentsProtein Kinase InhibitorsReceptor Tyrosine Kinase-like Orphan ReceptorsROR1 protein, human

Identifiers

PMID28432357
PMCPMC5430761

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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.