Evidence map›Paper›PMID 26183841›Full record

ArticleMolecular diversity2015

Benzo[e]pyrimido[5,4-b][1,4]diazepin-6(11H)-one derivatives as Aurora A kinase inhibitors: LQTA-QSAR analysis and detailed systematic validation of the developed model.

Ashish M Kanhed, Radha Charan Dash, Nishant Parmar, Tarun Kumar Das, Rajani Giridhar, Mange Ram Yadav

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Article in Molecular diversity, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Two Decades of 4D-QSAR: A Dying Art or Staging a Comeback?International journal of molecular sciences · 2021
    Review
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

6 authors.

Ashish M KanhedPharmacy Department, Faculty of Technology & Engineering, The Maharaja Sayajirao University of Baroda, Kalabhavan, Vadodara, Gujarat, 390001, India.
Radha Charan DashVisiting Research Associate to Pharmacy Department, The Maharaja Sayajirao University of Baroda, Vadodara, Gujarat, 390001, India.
Nishant ParmarDepartment of Mathematics, Faculty of Science, The Maharaja Sayajirao University of Baroda, Vadodara, Gujarat, 390001, India.
Tarun Kumar DasDepartment of Mathematics, Faculty of Science, The Maharaja Sayajirao University of Baroda, Vadodara, Gujarat, 390001, India.
Rajani GiridharPharmacy Department, Faculty of Technology & Engineering, The Maharaja Sayajirao University of Baroda, Kalabhavan, Vadodara, Gujarat, 390001, India.
Mange Ram YadavPharmacy Department, Faculty of Technology & Engineering, The Maharaja Sayajirao University of Baroda, Kalabhavan, Vadodara, Gujarat, 390001, India. mryadav11@yahoo.co.in.

Funding

Resource for Biocomputing Visualization and InformaticsP41GM103311 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FERRIN, THOMAS E · 2012 to 2017
$8.2M
NIGMS NIH HHS P41-GM103311
6 · The paper itself

Abstract

Aurora kinases are sub-divided into Aurora A, Aurora B, and Aurora C kinases that are considered as prospective targets for a new class of anticancer drugs. In this work, a 4-D-QSAR model using an LQTA-QSAR approach with previously reported 31 derivatives of benzo[e]pyrimido[5,4 -b][1,4]diazepin -6(11H)-one as potent Aurora kinase A inhibitors has been created. Instead of single conformation, the conformational ensemble profile generated for each ligand by using trajectories and topology information retrieved from molecular dynamics simulations from GROMACS package were aligned and used for the calculation of intermolecular interaction energies at each grid point. The descriptors generated on the basis of these Coulomb and Lennard-Jones potentials as independent variables were used to perform a PLS analysis using biological activity as dependent variable. A good predictive model was generated with nine field descriptors and five latent variables. The model showed [Formula: see text]; [Formula: see text] and [Formula: see text]. This model was further validated systematically by using different validation parameters. This 4D-QSAR model gave valuable information to recognize features essential to adapt and develop novel potential Aurora kinase inhibitors.

Indexed as

Antineoplastic AgentsAurora Kinase AMolecular ConformationMolecular Dynamics SimulationProtein Kinase InhibitorsPyrimidinonesQuantitative Structure-Activity RelationshipAntineoplastic AgentsAurora Kinase AProtein Kinase InhibitorsPyrimidinones4D-QSARAurora A kinaseCancerConformational ensemble profileMolecular dynamics

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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.