Evidence map›Paper›PMID 28684899›Full record

ArticleDrug design, development and therapy2017

Virtual screening for potential inhibitors of Mcl-1 conformations sampled by normal modes, molecular dynamics, and nuclear magnetic resonance.

Yitav Glantz-Gashai, Tomer Meirson, Eli Reuveni, Abraham O Samson

Abstract read
In one paragraph

Article in Drug design, development and therapy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Polyoxometalates bind multiple targets involved in Alzheimer's disease.Journal of biological inorganic chemistry : JBIC : a publication of the Society of Biological Inorganic Chemistry · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. 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

4 authors.

Yitav Glantz-GashaiFaculty of Medicine in the Galilee, Bar Ilan University, Safed, Israel.
Tomer MeirsonFaculty of Medicine in the Galilee, Bar Ilan University, Safed, Israel.
Eli ReuveniFaculty of Medicine in the Galilee, Bar Ilan University, Safed, Israel.
Abraham O SamsonFaculty of Medicine in the Galilee, Bar Ilan University, Safed, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myeloid cell leukemia-1 (Mcl-1) is often overexpressed in human cancer and is an important target for developing antineoplastic drugs. In this study, a data set containing 2.3 million lead-like molecules and a data set of all the US Food and Drug Administration (FDA)-approved drugs are virtually screened for potential Mcl-1 ligands using Protein Data Bank (PDB) ID 2MHS. The potential Mcl-1 ligands are evaluated and computationally docked on to three conformation ensembles generated by normal mode analysis (NMA), molecular dynamics (MD), and nuclear magnetic resonance (NMR), respectively. The evaluated potential Mcl-1 ligands are then compared with their clinical use. Remarkably, half of the top 30 potential drugs are used clinically to treat cancer, thus partially validating our virtual screen. The partial validation also favors the idea that the other half of the top 30 potential drugs could be used in the treatment of cancer. The normal mode-, MD-, and NMR-based conformation greatly expand the conformational sampling used herein for in silico identification of potential Mcl-1 inhibitors.

Indexed as

Antineoplastic AgentsComputer SimulationDatabases, FactualDrug DesignDrug Screening Assays, AntitumorHumansLigandsMagnetic Resonance SpectroscopyModels, MolecularMolecular Docking SimulationMolecular Dynamics SimulationMyeloid Cell Leukemia Sequence 1 ProteinProtein ConformationReproducibility of ResultsAntineoplastic AgentsLigandsMCL1 protein, humanMyeloid Cell Leukemia Sequence 1 ProteinMcl-1molecular dynamicsNMRnormal modesvirtual screening

Identifiers

PMID28684899
PMCPMC5484510

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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.