Evidence map›Paper›PMID 22703617›Full record

ArticleChemical biology & drug design2012

Identification of FDA-approved drugs that computationally bind to MDM2.

Wayne A Warner, Ricardo Sanchez, Alex Dawoodian, Esther Li, Jamil Momand

Open access · bronzeAbstract readLetter
In one paragraph

Article in Chemical biology & drug design, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.4field-weighted citation impact, top 20% of its field
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

14 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Discovery of Novel Isatin-Based p53 Inducers.ACS medicinal chemistry letters · 2015
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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

5 authors at 1 institution in 1 country.

Wayne A Warner
Ricardo Sanchez
Alex Dawoodian
Esther Li
Jamil Momand
California State University Los Angeles · US

Funding

Research Initiative for Scientific Enhancement (RISE)R25GM061331 · NIGMS · CALIFORNIA STATE UNIVERSITY LOS ANGELES · PI FOSTER, KRISHNA L · 2000 to 2021
$33.1M
UNDERGRADUATE STUDENT TRAINING IN ACADEMIC RESEARCHT34GM008228 · NIGMS · CALIFORNIA STATE UNIVERSITY LOS ANGELES · PI TUNSTAD, LINDA M. · 1986 to 2022
$13.3M
Improving Quantitative Skills of Life Science Majors at Cal State Los AngelesT36GM078013 · NIGMS · CALIFORNIA STATE UNIVERSITY LOS ANGELES · PI HEUBACH, SILVIA · 2008 to 2012
$1.3M
CSULA-COH Collaborative to Study Cancer DisparitiesP20CA118783 · NCI · CALIFORNIA STATE UNIVERSITY LOS ANGELES · PI MOMAND, JAMIL A · 2006 to 2009
$907k
NCI NIH HHS 1 P20 CA118783NCI NIH HHS P20 CA118783NIGMS NIH HHS GM61331NIGMS NIH HHS R25 GM061331NIGMS NIH HHS T34 GM008228NIGMS NIH HHS T36 GM078013
6 · The paper itself

Abstract

The integrity of the p53 tumor suppressor pathway is compromised in the majority of cancers. In 7% of cancers p53 is inactivated by abnormally high levels of MDM2--an E3 ubiquitin ligase that polyubiquitinates p53, marking it for degradation. MDM2 engages p53 through its hydrophobic cleft, and blockage of that cleft by small molecules can re-establish p53 activity. Small molecule MDM2 inhibitors have been developed, but there is likely to be a high cost and long time period before effective drugs reach the market. An alternative is to repurpose FDA-approved drugs. This report describes a new approach, called Computational Conformer Selection, to screen for compounds that potentially inhibit MDM2. This screen was used to computationally generate up to 600 conformers of 3244 FDA-approved drugs. Drug conformer similarities to 41 computationally-generated conformers of MDM2 inhibitor nutlin 3a were ranked by shape and charge distribution. Quantification of similarities by Tanimoto combo scoring resulted in scores that ranged from 0.142 to 0.802. In silico docking of drugs to MDM2 was used to calculate binding energies and to visualize contacts between the top-ranking drugs and the MDM2 hydrophobic cleft. We present 15 FDA-approved drugs predicted to inhibit p53/MDM2 interaction.

Indexed as

Computer-Aided DesignDrug DesignBepridilDrug ApprovalHumansImidazolesMolecular ConformationMolecular Docking SimulationPiperazinesProto-Oncogene Proteins c-mdm2United StatesUnited States Food and Drug AdministrationBepridilImidazolesMDM2 protein, humannutlin 3PiperazinesProto-Oncogene Proteins c-mdm2

Identifiers

PMID22703617
PMCPMC3448857
OpenAlexW1496714358

What OpenQuestion holds

Textmetadata
LicenceTDM
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.