Evidence map›Paper›PMID 25383219›Full record

ArticleInternational journal of medicinal chemistry2014

Target Based Designing of Anthracenone Derivatives as Tubulin Polymerization Inhibiting Agents: 3D QSAR and Docking Approach.

Abdul Samad, Moawiah M Naffaa, Mohammed Afroz Bakht, Manav Malhotra, Majid A Ganaie

Abstract read
In one paragraph

Article in International journal of medicinal chemistry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. 3D QSAR study on substituted 1, 2, 4 triazole derivatives as anticancer agents by kNN MFA approach.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2023
    Article
  2. 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

5 authors.

Abdul SamadDepartment of Pharmaceutical Chemistry, College of Pharmacy, Salman bin Abdul Aziz University, P.O. Box 173, Al-kharj 11942, Saudi Arabia.ORCID 0000-0001-6518-6131
Moawiah M NaffaaFaculty of Pharmacy, University of Sydney, NSW 2006, Australia.
Mohammed Afroz BakhtDepartment of Pharmaceutical Chemistry, College of Pharmacy, Salman bin Abdul Aziz University, P.O. Box 173, Al-kharj 11942, Saudi Arabia.
Manav MalhotraDepartment of Pharmaceutical Chemistry, ISF College of Pharmacy, Ferozepur Road, Moga 142 001, India.
Majid A GanaieDepartment of Pharmacology, College of Pharmacy, Salman bin Abdul Aziz University, P.O. Box 173, Al-kharj 11942, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Novel anthracenone derivatives were designed through in silico studies including 3D QSAR, pharmacophore mapping, and molecular docking approaches. Tubulin protein was explored for the residues imperative for activity by analyzing the binding pattern of colchicine and selected compounds of anthracenone derivatives in the active domain. The docking methodology applied in the study was first validated by comparative evaluation of the predicted and experimental inhibitory activity. Furthermore, the essential features responsible for the activity were established by carrying out pharmacophore mapping studies. 3D QSAR studies were carried out for a series of 1,5- and 1,8-disubstituted10-benzylidene-10H-anthracen-9-ones and 10-(2-oxo-2-phenylethylidene)-10H-anthracen-9-one derivatives for their antiproliferation activity. Based on the pattern recognition studies obtained from QSAR results, ten novel compounds were designed and docked in the active domain of tubulin protein. One of the novel designed compounds "N1" exhibited binding energy -9.69 kcal/mol and predicted Ki 78.32 nM which was found to be better than colchicine.

Identifiers

PMID25383219
PMCPMC4207406

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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.