Evidence map›Paper›PMID 29746660›Full record

ArticleNucleic acids research2018

INTERSPIA: a web application for exploring the dynamics of protein-protein interactions among multiple species.

Daehong Kwon, Daehwan Lee, Juyeon Kim, Jongin Lee, Mikang Sim, Jaebum Kim

Abstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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

6 authors.

Daehong KwonDepartment of Biomedical Science and Engineering, Konkuk University, Seoul 05029, Korea.
Daehwan LeeDepartment of Biomedical Science and Engineering, Konkuk University, Seoul 05029, Korea.
Juyeon KimDepartment of Biomedical Science and Engineering, Konkuk University, Seoul 05029, Korea.
Jongin LeeDepartment of Biomedical Science and Engineering, Konkuk University, Seoul 05029, Korea.
Mikang SimDepartment of Biomedical Science and Engineering, Konkuk University, Seoul 05029, Korea.
Jaebum KimDepartment of Biomedical Science and Engineering, Konkuk University, Seoul 05029, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proteins perform biological functions through cascading interactions with each other by forming protein complexes. As a result, interactions among proteins, called protein-protein interactions (PPIs) are not completely free from selection constraint during evolution. Therefore, the identification and analysis of PPI changes during evolution can give us new insight into the evolution of functions. Although many algorithms, databases and websites have been developed to help the study of PPIs, most of them are limited to visualize the structure and features of PPIs in a chosen single species with limited functions in the visualization perspective. This leads to difficulties in the identification of different patterns of PPIs in different species and their functional consequences. To resolve these issues, we developed a web application, called INTER-Species Protein Interaction Analysis (INTERSPIA). Given a set of proteins of user's interest, INTERSPIA first discovers additional proteins that are functionally associated with the input proteins and searches for different patterns of PPIs in multiple species through a server-side pipeline, and second visualizes the dynamics of PPIs in multiple species using an easy-to-use web interface. INTERSPIA is freely available at http://bioinfo.konkuk.ac.kr/INTERSPIA/.

Indexed as

Computational BiologyInternetSoftwareAlgorithmsDatabases, ProteinProtein Interaction MappingProteinsUser-Computer InterfaceProteins

Identifiers

PMID29746660
PMCPMC6031021

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

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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.