Evidence map›Paper›PMID 31639057›Full record

ArticleHuman genomics2019

HMNPPID-human malignant neoplasm protein-protein interaction database.

Qingqing Li, Zhihao Yang, Zhehuan Zhao, Ling Luo, Zhiheng Li, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang, Yijia Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Human genomics, 2019. 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
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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

10 authors.

Qingqing LiCollege of Computer Science and Technology, Dalian University of Technology, Dalian, 116024, China.
Zhihao YangCollege of Computer Science and Technology, Dalian University of Technology, Dalian, 116024, China. yangzh@dlut.edu.cn.
Zhehuan ZhaoCollege of Computer Science and Technology, Dalian University of Technology, Dalian, 116024, China.
Ling LuoCollege of Computer Science and Technology, Dalian University of Technology, Dalian, 116024, China.
Zhiheng LiCollege of Computer Science and Technology, Dalian University of Technology, Dalian, 116024, China.
Lei WangBeijing Institute of Health Administration and Medical Information, Beijing, 100850, China. wangleibihami@gmail.com.
Yin ZhangBeijing Institute of Health Administration and Medical Information, Beijing, 100850, China.
Hongfei LinCollege of Computer Science and Technology, Dalian University of Technology, Dalian, 116024, China.
Jian WangCollege of Computer Science and Technology, Dalian University of Technology, Dalian, 116024, China.
Yijia ZhangCollege of Computer Science and Technology, Dalian University of Technology, Dalian, 116024, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProtein-protein interaction (PPI) information extraction from biomedical literature helps unveil the molecular mechanisms of biological processes. Especially, the PPIs associated with human malignant neoplasms can unveil the biology behind these neoplasms. However, such PPI database is not currently available.

resultsIn this work, a database of protein-protein interactions associated with 171 kinds of human malignant neoplasms named HMNPPID is constructed. In addition, a visualization program, named VisualPPI, is provided to facilitate the analysis of the PPI network for a specific neoplasm.

conclusionsHMNPPID can hopefully become an important resource for the research on PPIs of human malignant neoplasms since it provides readily available data for healthcare professionals. Thus, they do not need to dig into a large amount of biomedical literatures any more, which may accelerate the researches on the PPIs of malignant neoplasms.

Indexed as

Databases, ProteinProtein Interaction MappingHumansInternetNeoplasm ProteinsNeoplasmsUser-Computer InterfaceNeoplasm ProteinsDatabaseHuman malignant neoplasmsProtein–protein interactions

Identifiers

PMID31639057
PMCPMC6805303

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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.