Evidence map›Paper›PMID 22759586›Full record

ArticleProteome science2012

IDDI: integrated domain-domain interaction and protein interaction analysis system.

Yul Kim, Bumki Min, Gwan-Su Yi

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Article in Proteome science, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

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28citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

28 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
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  7. Article
  8. Article
  9. mPPI: a database extension to visualize structural interactome in a one-to-many manner.Database : the journal of biological databases and curation · 2021
    Article
  10. Article
  11. Review
  12. Article
  13. An Ebola,Computational and structural biotechnology journal · 2021
    Article
  14. Predicted rat interactome database and gene set linkage analysis.Database : the journal of biological databases and curation · 2020
    Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Context-dependent prediction of protein complexes by SiComPre.NPJ systems biology and applications · 2018
    Article
  20. Article
4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Yul Kim *Department of Bio and Brain Engineering, KAIST, Daejeon 305-701, South Korea.
Bumki Min *Department of Bio and Brain Engineering, KAIST, Daejeon 305-701, South Korea.
Gwan-Su YiDepartment of Bio and Brain Engineering, KAIST, Daejeon 305-701, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDeciphering protein-protein interaction (PPI) in domain level enriches valuable information about binding mechanism and functional role of interacting proteins. The 3D structures of complex proteins are reliable source of domain-domain interaction (DDI) but the number of proven structures is very limited. Several resources for the computationally predicted DDI have been generated but they are scattered in various places and their prediction show erratic performances. A well-organized PPI and DDI analysis system integrating these data with fair scoring system is necessary.

methodWe integrated three structure-based DDI datasets and twenty computationally predicted DDI datasets and constructed an interaction analysis system, named IDDI, which enables to browse protein and domain interactions with their relationships. To integrate heterogeneous DDI information, a novel scoring scheme is introduced to determine the reliability of DDI by considering the prediction scores of each DDI and the confidence levels of each prediction method in the datasets, and independencies between predicted datasets. In addition, we connected this DDI information to the comprehensive PPI information and developed a unified interface for the interaction analysis exploring interaction networks at both protein and domain level.

resultIDDI provides 204,705 DDIs among total 7,351 Pfam domains in the current version. The result presents that total number of DDIs is increased eight times more than that of previous studies. Due to the increment of data, 50.4% of PPIs could be correlated with DDIs which is more than twice of previous resources. Newly designed scoring scheme outperformed the previous system in its accuracy too. User interface of IDDI system provides interactive investigation of proteins and domains in interactions with interconnected way. A specific example is presented to show the efficiency of the systems to acquire the comprehensive information of target protein with PPI and DDI relationships. IDDI is freely available at http://pcode.kaist.ac.kr/iddi/.

Identifiers

PMID22759586
PMCPMC3380739

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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.