Evidence map›Paper›PMID 25956654›Full record

ArticleNucleic acids research2015

ProtPhylo: identification of protein-phenotype and protein-protein functional associations via phylogenetic profiling.

Yiming Cheng, Fabiana Perocchi

Abstract read
In one paragraph

Article in Nucleic acids research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Review
  2. CladeOScope-GSA: Revealing Evolutionary Associations Across Gene Sets.International journal of molecular sciences · 2026
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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

2 authors.

Yiming ChengGene Center, Ludwig-Maximilians-University, Munich, Bavaria 81377, Germany Institute of Human Genetics, Helmholtz Zentrum München, Neuherberg, Bavaria 85764, Germany.
Fabiana PerocchiGene Center, Ludwig-Maximilians-University, Munich, Bavaria 81377, Germany Institute of Human Genetics, Helmholtz Zentrum München, Neuherberg, Bavaria 85764, Germany perocchi@genzentrum.lmu.de.ORCID http://orcid.org/0000-0002-1102-6500

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ProtPhylo is a web-based tool to identify proteins that are functionally linked to either a phenotype or a protein of interest based on co-evolution. ProtPhylo infers functional associations by comparing protein phylogenetic profiles (co-occurrence patterns of orthology relationships) for more than 9.7 million non-redundant protein sequences from all three domains of life. Users can query any of 2048 fully sequenced organisms, including 1678 bacteria, 255 eukaryotes and 115 archaea. In addition, they can tailor ProtPhylo to a particular kind of biological question by choosing among four main orthology inference methods based either on pair-wise sequence comparisons (One-way Best Hits and Best Reciprocal Hits) or clustering of orthologous proteins across multiple species (OrthoMCL and eggNOG). Next, ProtPhylo ranks phylogenetic neighbors of query proteins or phenotypic properties using the Hamming distance as a measure of similarity between pairs of phylogenetic profiles. Candidate hits can be easily and flexibly prioritized by complementary clues on subcellular localization, known protein-protein interactions, membrane spanning regions and protein domains. The resulting protein list can be quickly exported into a csv text file for further analyses. ProtPhylo is freely available at http://www.protphylo.org.

Indexed as

PhenotypePhylogenySoftwareAlgorithmsCalcium ChannelsGenomicsHumansInternetMembrane ProteinsNeoplasm ProteinsProtein Interaction MappingProteinsSequence Analysis, ProteinStromal Interaction Molecule 1Calcium ChannelsMembrane Proteinsmitochondrial calcium uniporterNeoplasm ProteinsProteinsSTIM1 protein, humanStromal Interaction Molecule 1

Identifiers

PMID25956654
PMCPMC4489284

What OpenQuestion holds

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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.