Evidence map›Paper›PMID 25243143›Full record

ArticleBioMed research international2014

System analysis of LWDH related genes based on text mining in biological networks.

Mingzhi Liao, Yingbo Miao, Liangcai Zhang, Yang Wang, Rennan Feng, Lei Yang, Shihua Zhang, Yongshuai Jiang, Guiyou Liu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BioMed research international, 2014. 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

9 authors.

Mingzhi LiaoCollege of Life Sciences, Northwest A&F University, Yangling, Shaanxi 712100, China.ORCID 0000-0002-5216-5742
Yingbo MiaoCollege of Pharmacy, Nankai University, Tianjin 300071, China.
Liangcai ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China ; Department of Statistics, Rice University, 6100 Main Street, Houston, TX 77005, USA.
Yang WangCollege of Life Sciences, Northwest A&F University, Yangling, Shaanxi 712100, China.
Rennan FengCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China ; Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin 150081, China.
Lei YangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Shihua ZhangCollege of Life Science, Anhui Agricultural University, Hefei 230036, China.
Yongshuai JiangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Guiyou LiuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China ; Genome Analysis Laboratory, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin 300308, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liuwei-dihuang (LWDH) is widely used in traditional Chinese medicine (TCM), but its molecular mechanism about gene interactions is unclear. LWDH genes were extracted from the existing literatures based on text mining technology. To simulate the complex molecular interactions that occur in the whole body, protein-protein interaction networks (PPINs) were constructed and the topological properties of LWDH genes were analyzed. LWDH genes have higher centrality properties and may play important roles in the complex biological network environment. It was also found that the distances within LWDH genes are smaller than expected, which means that the communication of LWDH genes during the biological process is rapid and effectual. At last, a comprehensive network of LWDH genes, including the related drugs and regulatory pathways at both the transcriptional and posttranscriptional levels, was constructed and analyzed. The biological network analysis strategy used in this study may be helpful for the understanding of molecular mechanism of TCM.

Indexed as

Data MiningDatabases, GeneticDrugs, Chinese HerbalGene OntologyProtein Interaction MapsDrugs, Chinese HerbalLiuwei Dihuang Decoction

Identifiers

PMID25243143
PMCPMC4163428

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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.