Evidence map›Paper›PMID 28365721›Full record

ArticleDatabase : the journal of biological databases and curation2017

PCPPI: a comprehensive database for the prediction of Penicillium-crop protein-protein interactions.

Junyang Yue, Danfeng Zhang, Rongjun Ban, Xiaojing Ma, Danyang Chen, Guangwei Li, Jia Liu, Michael Wisniewski, Samir Droby, Yongsheng Liu

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

10 authors.

Junyang YueCollege of Food Science and Engineering, Hefei University of Technology, Hefei 230009, China.
Danfeng ZhangCollege of Food Science and Engineering, Hefei University of Technology, Hefei 230009, China.
Rongjun BanSchool of Information Science and Technology, University of Science and Technology of China, Hefei 230026, China.
Xiaojing MaSchool of Medical Engineering, Hefei University of Technology, Hefei 230009, China.
Danyang ChenCollege of Food Science and Engineering, Hefei University of Technology, Hefei 230009, China.
Guangwei LiCollege of Food Science and Engineering, Hefei University of Technology, Hefei 230009, China.
Jia LiuCollege of Food Science and Engineering, Hefei University of Technology, Hefei 230009, China.
Michael WisniewskiUnited States Department of Agriculture-Agricultural Research Service (USDA-ARS), Kearneysville, WV 25430, USA.
Samir DrobyAgricultural Research Organization (ARO), The Volcani Center, 50250 Bet Dagan, Israel.
Yongsheng LiuCollege of Food Science and Engineering, Hefei University of Technology, Hefei 230009, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Penicillium expansum , the causal agent of blue mold, is one of the most prevalent post-harvest pathogens, infecting a wide range of crops after harvest. In response, crops have evolved various defense systems to protect themselves against this and other pathogens. Penicillium -crop interaction is a multifaceted process and mediated by pathogen- and host-derived proteins. Identification and characterization of the inter-species protein-protein interactions (PPIs) are fundamental to elucidating the molecular mechanisms underlying infection processes between P. expansum and plant crops. Here, we have developed PCPPI, the Penicillium -Crop Protein-Protein Interactions database, which is constructed based on the experimentally determined orthologous interactions in pathogen-plant systems and available domain-domain interactions (DDIs) in each PPI. Thus far, it stores information on 9911 proteins, 439 904 interactions and seven host species, including apple, kiwifruit, maize, pear, rice, strawberry and tomato. Further analysis through the gene ontology (GO) annotation indicated that proteins with more interacting partners tend to execute the essential function. Significantly, semantic statistics of the GO terms also provided strong support for the accuracy of our predicted interactions in PCPPI. We believe that all the PCPPI datasets are helpful to facilitate the study of pathogen-crop interactions and freely available to the research community. Database URL: : http://bdg.hfut.edu.cn/pcppi/index.html.

Indexed as

Databases, ProteinCrops, AgriculturalFungal ProteinsPenicilliumPlant ProteinsProtein DomainsFungal ProteinsPlant Proteins

Identifiers

PMID28365721
PMCPMC5467543

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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.