Evidence map›Paper›PMID 19329067›Full record

ArticleGenomics, proteomics & bioinformatics2008

Identification of semaphorin 5A interacting protein by applying apriori knowledge and peptide complementarity related to protein evolution and structure.

Anguraj Sadanandam, Michelle L Varney, Rakesh K Singh

Abstract read
In one paragraph

Article in Genomics, proteomics & bioinformatics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Loss of plexin-B3 in hepatocellular carcinoma.Experimental and therapeutic medicine · 2015
    Article
  7. Review
  8. Article
  9. Article
  10. Article
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

3 authors.

Anguraj SadanandamDepartment of Pathology and Microbiology, University of Nebraska Medical Center, Omaha, NE 68198-5845, USA.
Michelle L Varney
Rakesh K Singh

Funding

UNMC/EPPLEY CANCER CENTER SUPPORT GRANTP30CA036727 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI Apar Kishor Ganti · 1985 to 2026
$55.0M
Molecular Regulation of Human Melanoma MetastasisR01CA072781 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI SINGH, RAKESH K · 2005 to 2007
$580k
MOLECULAR REGULATION OF HUMAN MELANOMA METASTASISR29CA072781 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI SINGH, RAKESH K · 1998 to 2002
$308k
NCI NIH HHS CA72781NCI NIH HHS P30 CA036727NCI NIH HHS P30CA036727NCI NIH HHS R01 CA072781NCI NIH HHS R29 CA072781
6 · The paper itself

Abstract

In the post-genomic era, various computational methods that predict protein-protein interactions at the genome level are available; however, each method has its own advantages and disadvantages, resulting in false predictions. Here we developed a unique integrated approach to identify interacting partner(s) of Semaphorin 5A (SEMA5A), beginning with seven proteins sharing similar ligand interacting residues as putative binding partners. The methods include Dwyer and Root-Bernstein/Dillon theories of protein evolution, hydropathic complementarity of protein structure, pattern of protein functions among molecules, information on domain-domain interactions, co-expression of genes and protein evolution. Among the set of seven proteins selected as putative SEMA5A interacting partners, we found the functions of Plexin B3 and Neuropilin-2 to be associated with SEMA5A. We modeled the semaphorin domain structure of Plexin B3 and found that it shares similarity with SEMA5A. Moreover, a virtual expression database search and RT-PCR analysis showed co-expression of SEMA5A and Plexin B3 and these proteins were found to have co-evolved. In addition, we confirmed the interaction of SEMA5A with Plexin B3 in co-immunoprecipitation studies. Overall, these studies demonstrate that an integrated method of prediction can be used at the genome level for discovering many unknown protein binding partners with known ligand binding domains.

Indexed as

Binding SitesCell Line, TumorCluster AnalysisComputational BiologyDatabases, ProteinGene Expression ProfilingHumansHydrophobic and Hydrophilic InteractionsImmunoprecipitationMembrane ProteinsModels, MolecularNerve Tissue ProteinsNeural Cell Adhesion MoleculesProtein BindingProtein Interaction MappingProtein Structure, TertiaryMembrane ProteinsNerve Tissue ProteinsNeural Cell Adhesion MoleculesPLXNB3 protein, humanSEMA5A protein, humanSemaphorins

Identifiers

PMID19329067
PMCPMC5054137

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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.