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The discovery, complex crystal structure, and recognition mechanism of a novel natural PDE4 inhibitor from Selaginella pulvinata

Overview of attention for article published in Biochemical Pharmacology, January 2017
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Title
The discovery, complex crystal structure, and recognition mechanism of a novel natural PDE4 inhibitor from Selaginella pulvinata
Published in
Biochemical Pharmacology, January 2017
DOI 10.1016/j.bcp.2017.01.016
Pubmed ID
Authors

Yiyou Huang, Xin Liu, Deyan Wu, Guihua Tang, Zengwei Lai, Xuehua Zheng, Sheng Yin, Hai-Bin Luo

Abstract

Phosphodiesterase-4 (PDE4) is an important drug target for treatment of inflammation-related diseases. Till now, natural PDE4 inhibitors are rare and their co-crystal structures with PDE4 are hardly available. In the present study, selaginpulvilins K and L (1 and 2), two novel fluorene derivatives, were isolated from a traditional Chinese medicine Selaginella pulvinata and exhibited remarkable inhibition against phosphodiesterase-4D (PDE4D) at IC50 11 nM and 90 nM, respectively. Compound 1 also showed a good selectivity across PDE families with the selective fold ranging from 30 to 909. To understand the recognition mechanism of selaginpulvilines towards PDE4, the crystal structure of PDE4D bound with 1 was successfully determined by the X-ray diffraction method and presented an unusual binding mode in which the stretched skeleton of the inhibitor bound shallowly to the active site but had interactions with multi sub-pockets, such as Q, HC, M, and S, especially strong interaction with the metal region. Assisted with molecular modeling, the structure-activity relationship and the selectivity of selaginpulvilins were also well explored, which would facilitate the future rational inhibitor design or structural optimizations.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 19%
Student > Ph. D. Student 3 14%
Lecturer 2 10%
Researcher 2 10%
Student > Master 2 10%
Other 1 5%
Unknown 7 33%
Readers by discipline Count As %
Chemistry 3 14%
Environmental Science 2 10%
Pharmacology, Toxicology and Pharmaceutical Science 2 10%
Medicine and Dentistry 2 10%
Physics and Astronomy 1 5%
Other 4 19%
Unknown 7 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 May 2017.
All research outputs
#20,660,571
of 25,382,440 outputs
Outputs from Biochemical Pharmacology
#6,790
of 7,688 outputs
Outputs of similar age
#322,196
of 424,113 outputs
Outputs of similar age from Biochemical Pharmacology
#22
of 31 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,688 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 7th percentile – i.e., 7% of its peers scored the same or lower than it.
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We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.