Evidence map›Paper›PMID 22985069›Full record

ArticleJournal of medicinal chemistry2012

Structure-based discovery of highly selective phosphodiesterase-9A inhibitors and implications for inhibitor design.

Fei Meng, Jing Hou, Yong-Xian Shao, Pei-Ying Wu, Manna Huang, Xinhai Zhu, Yonghong Cai, Zhe Li, Jie Xu, Peiqing Liu and 3 more

Abstract read
In one paragraph

Article in Journal of medicinal chemistry, 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
–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

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Role of Phosphodiesterase in the Biology and Pathology of Diabetes.International journal of molecular sciences · 2020
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  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

13 authors.

Fei MengSchool of Chemistry and Chemical Engineering, Sun Yat-Sen University, Guangzhou 510275, People's Republic of China.
Jing Hou
Yong-Xian Shao
Pei-Ying Wu
Manna Huang
Xinhai Zhu
Yonghong Cai
Zhe Li
Jie Xu
Peiqing Liu
Hai-Bin Luo
Yiqian Wan
Hengming Ke

Funding

Substrate specificity and inhibitor selectivity of PDER01GM059791 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KE, HENGMING · 2000 to 2013
$3.0M
NIGMS NIH HHS GM59791NIGMS NIH HHS R01 GM059791
6 · The paper itself

Abstract

A new series of phosphodiesterase-9 (PDE9) inhibitors that contain a scaffold of 6-amino-pyrazolopyrimidinone have been discovered by a combination of structure-based design and computational docking. This procedure significantly saved the load of chemical synthesis and is an effective method for the discovery of inhibitors. The best compound 28 has an IC(50) of 21 nM and 3.3 μM, respectively, for PDE9 and PDE5 and about 3 orders of magnitude of selectivity against other PDE families. The crystal structure of the PDE9 catalytic domain in complex with 28 has been determined and shows a hydrogen bond between 28 and Tyr424. This hydrogen bond may account for the 860-fold selectivity of 28 against PDE1B, in comparison with about 30-fold selectivity of BAY73-6691. Thus, our studies suggest that Tyr424, a unique residue of PDE8 and PDE9, is a potential target for improvement of selectivity of PDE9 inhibitors.

Indexed as

Molecular Docking Simulation3',5'-Cyclic-AMP PhosphodiesterasesCatalytic DomainCrystallography, X-RayDrug DesignPhosphodiesterase InhibitorsPyrazolesPyrimidinesStructure-Activity Relationship3',5'-Cyclic-AMP PhosphodiesterasesPhosphodiesterase InhibitorsPyrazolesPyrimidines

Identifiers

PMID22985069
PMCPMC3469756

What OpenQuestion holds

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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 OpenQuestion graph.