Evidence map›Paper›PMID 16150155›Full record

ArticleBMC genomics2005

Comparison of theoretical proteomes: identification of COGs with conserved and variable pI within the multimodal pI distribution.

Soumyadeep Nandi, Nipun Mehra, Andrew M Lynn, Alok Bhattacharya

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
0.3field-weighted citation impact, top 43% of its field
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

18 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
  2. Physicochemical classification of organisms.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  3. Article
  4. Article
  5. Protein pI and Intracellular Localization.Frontiers in molecular biosciences · 2021
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Molecular modeling and3 Biotech · 2018
    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

4 authors at 1 institution in 1 country.

Soumyadeep NandiCentre for Computational Biology and Bioinformatics, School of Information Technology, Jawaharlal Nehru University, New Delhi 110067, India. sn7950@students.jnu.ac.in
Nipun Mehra
Andrew M Lynn
Alok Bhattacharya
Jawaharlal Nehru University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTheoretical proteome analysis, generated by plotting theoretical isoelectric points (pI) against molecular masses of all proteins encoded by the genome show a multimodal distribution for pI. This multimodal distribution is an effect of allowed combinations of the charged amino acids, and not due to evolutionary causes. The variation in this distribution can be correlated to the organisms ecological niche. Contributions to this variation maybe mapped to individual proteins by studying the variation in pI of orthologs across microorganism genomes.

resultsThe distribution of ortholog pI values showed trimodal distributions for all prokaryotic genomes analyzed, similar to whole proteome plots. Pairwise analysis of pI variation show that a few COGs are conserved within, but most vary between, the acidic and basic regions of the distribution, while molecular mass is more highly conserved. At the level of functional grouping of orthologs, five groups vary significantly from the population of orthologs, which is attributed to either conservation at the level of sequences or a bias for either positively or negatively charged residues contributing to the function. Individual COGs conserved in both the acidic and basic regions of the trimodal distribution are identified, and orthologs that best represent the variation in levels of the acidic and basic regions are listed.

conclusionThe analysis of pI distribution by using orthologs provides a basis for resolution of theoretical proteome comparison at the level of individual proteins. Orthologs identified that significantly vary between the major acidic and basic regions maybe used as representative of the variation of the entire proteome.

Indexed as

Genome, BacterialProteomeBacterial ProteinsCluster AnalysisComputational BiologyComputer SimulationDatabases, ProteinElectrophoresis, Gel, Two-DimensionalHydrogen-Ion ConcentrationIsoelectric PointModels, StatisticalOpen Reading FramesProteinsProteomicsBacterial ProteinsProteinsProteome

Identifiers

PMID16150155
PMCPMC1249567
OpenAlexW2146371654

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.