Evidence map›Paper›PMID 28669127›Full record

ArticleJournal of molecular modeling2017

Ensemble-based virtual screening: identification of a potential allosteric inhibitor of Bcr-Abl.

Vivek Kumar Singh, Mohane Selvaraj Coumar

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of molecular modeling, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Novel Scaffold Agonists of the αMolecules (Basel, Switzerland) · 2024
    Article
  3. Article
  4. Article
  5. 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.

Vivek Kumar SinghCentre for Bioinformatics, School of Life Sciences, Pondicherry University, Kalapet, Puducherry, 605014, India.
Mohane Selvaraj CoumarCentre for Bioinformatics, School of Life Sciences, Pondicherry University, Kalapet, Puducherry, 605014, India. mohane@bicpu.edu.in.ORCID http://orcid.org/0000-0002-0505-568X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ensemble-based virtual screening using different conformations of a target protein is gaining popularity, as it can leverage information from target flexibility for effective lead identification. In this paper, molecular dynamics simulation followed by RMSD-based clustering was employed to generate and choose distinct conformations of Bcr-Abl. Three representative structures from the most-populated clusters along with the crystal structure conformation (PDBID: 3K5V) were used to perform docking-based virtual screening of 14,400 compounds (in the Maybridge database) in order to identify potential allosteric site binders. Seven compounds found as hits in at least three of the four virtual screenings had higher Glide docking scores than the co-crystallized allosteric inhibitor GNF-2. Detailed computational analyses of the seven hits identified SEW02675 (ΔG

Indexed as

Molecular Docking SimulationAllosteric RegulationFusion Proteins, bcr-ablHumansProtein Kinase InhibitorsFusion Proteins, bcr-ablProtein Kinase InhibitorsAllosteric inhibitorsBcr-AblBcr-Abl mutationChronic myeloid leukemiaConformational ensembleDockingDrug resistanceMolecular dynamics simulationVirtual screening

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.