Evidence map›Paper›PMID 27164065›Full record

ArticleMolecules (Basel, Switzerland)2016

In Silico Exploration of 1,7-Diazacarbazole Analogs as Checkpoint Kinase 1 Inhibitors by Using 3D QSAR, Molecular Docking Study, and Molecular Dynamics Simulations.

Xiaodong Gao, Liping Han, Yujie Ren

Abstract read
In one paragraph

Article 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 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. 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

3 authors.

Xiaodong GaoSchool of Chemistry and Environmental Engineering, Shanghai Institute of Technology, Shanghai 201418, China. m15201835052_2@163.com.
Liping HanSchool of Chemistry and Environmental Engineering, Shanghai Institute of Technology, Shanghai 201418, China. hanliping108@163.com.
Yujie RenSchool of Chemistry and Environmental Engineering, Shanghai Institute of Technology, Shanghai 201418, China. clab@sit.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Checkpoint kinase 1 (Chk1) is an important serine/threonine kinase with a self-protection function. The combination of Chk1 inhibitors and anti-cancer drugs can enhance the selectivity of tumor therapy. In this work, a set of 1,7-diazacarbazole analogs were identified as potent Chk1 inhibitors through a series of computer-aided drug design processes, including three-dimensional quantitative structure-activity relationship (3D-QSAR) modeling, molecular docking, and molecular dynamics simulations. The optimal QSAR models showed significant cross-validated correlation q² values (0.531, 0.726), fitted correlation r² coefficients (higher than 0.90), and standard error of prediction (less than 0.250). These results suggested that the developed models possess good predictive ability. Moreover, molecular docking and molecular dynamics simulations were applied to highlight the important interactions between the ligand and the Chk1 receptor protein. This study shows that hydrogen bonding and electrostatic forces are key interactions that confer bioactivity.

Indexed as

Antineoplastic AgentsBinding SitesCarbazolesCheckpoint Kinase 1Computer SimulationDrug DesignHydrogen BondingMolecular Docking SimulationMolecular Dynamics SimulationMolecular StructureProtein Kinase InhibitorsQuantitative Structure-Activity RelationshipStatic ElectricityAntineoplastic AgentsCarbazolesCheckpoint Kinase 1Protein Kinase InhibitorsChk1 proteinCoMFACoMSIAdockingmolecular dynamics

Identifiers

PMID27164065
PMCPMC6273173

What OpenQuestion holds

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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.