Evidence map›Paper›PMID 27240803›Full record

ArticleJournal of molecular modeling2016

Computational approaches to find the active binding sites of biological targets against busulfan.

T Karthick, Poonam Tandon

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of molecular modeling, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. New flavone-based arylamides as potentialJournal of Taibah University Medical Sciences · 2023
    Article
  3. Journal of Taibah University Medical Sciences · 2023
    Article
  4. Article
  5. Article
  6. Cytochrome c/Multi-walled Carbon Nanotubes Modified Glassy Carbon Electrode for the Detection of Streptomycin in Pharmaceutical Samples.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2021
    Article
  7. Article
  8. Article
  9. 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

2 authors.

T KarthickDepartment of Physics, University of Lucknow, Lucknow, 226 007, India. karthiphy84@gmail.com.
Poonam TandonDepartment of Physics, University of Lucknow, Lucknow, 226 007, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Determination of electrophilic and nucleophilic sites of a molecule is the primary task to find the active sites of the lead molecule. In the present study, the active sites of busulfan have been predicted by molecular electrostatic potential surface and Fukui function analysis with the help of dispersion corrected density functional theory. Similarly, the identification of active binding sites of the proteins against lead compound plays a vital role in the field of drug discovery. Rigid and flexible molecular docking approaches are used for this purpose. For rigid docking, Hex 8.0.0 software employing fast Fourier transform (FFT) algorithm has been used. The partial flexible blind docking simulations have been performed with AutoDock 4.2 software; where a Lamarckian genetic algorithm is employed. The results showed that the most electrophilic atoms of busulfan bind with the targets. It is clear from the docking studies that busulfan has inhibition capability toward the targets 12CA and 1BZM. Graphical Abstract Docking of ligand and protein.

Indexed as

Molecular Docking SimulationAlgorithmsBinding SitesBusulfanCatalytic DomainComputational BiologyMolecular ConformationProtein BindingProtein DomainsProteinsStatic ElectricityBusulfanProteinsBusulfanFukui functionMolecular electrostatic potentialPartial flexible blind dockingRigid docking

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.