Evidence map›Paper›PMID 29307141›Full record

ArticleGenomics & informatics2017

Identification of New Potential APE1 Inhibitors by Pharmacophore Modeling and Molecular Docking.

In Won Lee, Jonghwan Yoon, Gunhee Lee, Minho Lee

Abstract read
In one paragraph

Article in Genomics & informatics, 2017. 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. 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

4 authors.

In Won LeeDepartment of Biological Science, Sangji University, Wonju 26339, Korea.ORCID https://orcid.org/0000-0002-4359-4721
Jonghwan YoonDepartment of Biomedicine & Health Sciences, Graduate School, The Catholic University of Korea, Seoul 06591, Korea.ORCID https://orcid.org/0000-0002-3399-0966
Gunhee LeeDepartment of Biomedicine & Health Sciences, Graduate School, The Catholic University of Korea, Seoul 06591, Korea.ORCID https://orcid.org/0000-0001-7142-9072
Minho LeeCatholic Precision Medicine Research Center, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea.ORCID https://orcid.org/0000-0002-0168-9546

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Apurinic/apyrimidinic endonuclease 1 (APE1) is an enzyme responsible for the initial step in the base excision repair pathway and is known to be a potential drug target for treating cancers, because its expression is associated with resistance to DNA-damaging anticancer agents. Although several inhibitors already have been identified, the identification of novel kinds of potential inhibitors of APE1 could provide a seed for the development of improved anticancer drugs. For this purpose, we first classified known inhibitors of APE1. According to the classification, we constructed two distinct pharmacophore models. We screened more than 3 million lead-like compounds using the pharmacophores. Hits that fulfilled the features of the pharmacophore models were identified. In addition to the pharmacophore screen, we carried out molecular docking to prioritize hits. Based on these processes, we ultimately identified 1,338 potential inhibitors of APE1 with predicted binding affinities to the enzyme.

Indexed as

APE1molecular docking simulationpharmacophore modelingvirtual screening

Identifiers

PMID29307141
PMCPMC5769857

What Socratic holds

Textmetadata
LicenceCC BY-NC
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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 Socratic graph.