Evidence map›Paper›PMID 26449325›Full record

ArticleScientific reports2015

Discovery of Novel Anti-prion Compounds Using In Silico and In Vitro Approaches.

Jae Wook Hyeon, Jiwon Choi, Su Yeon Kim, Rajiv Gandhi Govindaraj, Kyu Jam Hwang, Yeong Seon Lee, Seong Soo A An, Myung Koo Lee, Jong Young Joung, Kyoung Tai No and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Review
  3. Adaptation of the protein misfolding cyclic amplification (PMCA) technique for the screening of anti-prion compounds.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2024
    Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Direct interaction of DNMT inhibitors to PrPActa pharmaceutica Sinica. B · 2019
    Article
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  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
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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

11 authors.

Jae Wook HyeonDivision of Zoonoses, Center for Immunology &Pathology, National Institute of Health, Korea Centers for Disease Control &Prevention, Chungcheongbuk-do 363-700, Korea.
Jiwon ChoiBioinformatics &Molecular Design Research Center, Seoul, 120-749, Korea.
Su Yeon KimDivision of Zoonoses, Center for Immunology &Pathology, National Institute of Health, Korea Centers for Disease Control &Prevention, Chungcheongbuk-do 363-700, Korea.
Rajiv Gandhi GovindarajBioinformatics &Molecular Design Research Center, Seoul, 120-749, Korea.
Kyu Jam HwangDivision of Zoonoses, Center for Immunology &Pathology, National Institute of Health, Korea Centers for Disease Control &Prevention, Chungcheongbuk-do 363-700, Korea.
Yeong Seon LeeDivision of Zoonoses, Center for Immunology &Pathology, National Institute of Health, Korea Centers for Disease Control &Prevention, Chungcheongbuk-do 363-700, Korea.
Seong Soo A AnGachonBioNano Research Institute, Gachon University, Gyeonggi-do 461-701, Korea.
Myung Koo LeeCollege of Pharmacy, Chungbuk National University, Cheongju 361-763, Korea.
Jong Young JoungNano/Bio Computational Chemistry Laboratory, Department of Chemistry, Sookmyung Woman's University, Seoul, 140-742, Korea.
Kyoung Tai NoBioinformatics &Molecular Design Research Center, Seoul, 120-749, Korea.
Jeongmin LeeDivision of Zoonoses, Center for Immunology &Pathology, National Institute of Health, Korea Centers for Disease Control &Prevention, Chungcheongbuk-do 363-700, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prion diseases are associated with the conformational conversion of the physiological form of cellular prion protein (PrP(C)) to the pathogenic form, PrP(Sc). Compounds that inhibit this process by blocking conversion to the PrP(Sc) could provide useful anti-prion therapies. However, no suitable drugs have been identified to date. To identify novel anti-prion compounds, we developed a combined structure- and ligand-based virtual screening system in silico. Virtual screening of a 700,000-compound database, followed by cluster analysis, identified 37 compounds with strong interactions with essential hotspot PrP residues identified in a previous study of PrP(C) interaction with a known anti-prion compound (GN8). These compounds were tested in vitro using a multimer detection system, cell-based assays, and surface plasmon resonance. Some compounds effectively reduced PrP(Sc) levels and one of these compounds also showed a high binding affinity for PrP(C). These results provide a promising starting point for the development of anti-prion compounds.

Indexed as

Computer SimulationAnimalsCell Line, TumorDrug DiscoveryHumansLigandsMolecular Docking SimulationPrion DiseasesProtein BindingProtein Structure, TertiaryPrPC ProteinsPrPSc ProteinsSurface Plasmon ResonanceXenobioticsLigandsPrPC ProteinsPrPSc ProteinsXenobiotics

Identifiers

PMID26449325
PMCPMC4598813

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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.