Evidence map›Paper›PMID 10722636›Full record

ArticleInfection and immunity2000

Identification of secreted proteins of Mycobacterium tuberculosis by a bioinformatic approach.

M Gomez, S Johnson, M L Gennaro

Open access · greenAbstract read
In one paragraph

Article in Infection and immunity, 2000. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
5.7field-weighted citation impact, top 4% 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

30 citing papers in PubMed, 102 citations in OpenAlex.

  1. Article
  2. Recent Characterization of Key Proteins to Combat Tuberculosis.Advances in experimental medicine and biology · 2026
    Review
  3. Article
  4. Article
  5. Computational and structural biotechnology journal · 2023
    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

3 authors at 1 institution in 1 country.

M GomezPublic Health Research Institute, New York, New York, USA.
S Johnson
M L Gennaro
Public Health Institute · US

Funding

IMMUNOLOGICAL DIAGNOSIS OF TUBERCULOSISR01AI036989 · NIAID · PUBLIC HEALTH RESEARCH INSTITUTE · PI GENNARO, MARIA LAURA · 1994 to 2003
$1.3M
NIAID NIH HHS AI-36989NIAID NIH HHS R01 AI036989
6 · The paper itself

Abstract

Proteins secreted by Mycobacterium tuberculosis are usually targets of immune responses in the infected host. Here we describe a search for secreted proteins that combined the use of bioinformatics and phoA' fusion technology. The 3,924 proteins deduced from the M. tuberculosis genome were analyzed with several computer programs. We identified 52 proteins carrying an NH(2)-terminal secretory signal peptide but lacking additional membrane-anchoring moieties. Of these 52 proteins-the TM1 subgroup-only 7 had been previously reported to be secreted proteins. Our predictions were confirmed in 9 of 10 TM1 genes that were fused to Escherichia coli phoA', a marker of subcellular localization. These findings demonstrate that the systematic computer search described in this work identified secreted proteins of M. tuberculosis with high efficiency and 90% accuracy.

Indexed as

Computational BiologyAlgorithmsAlkaline PhosphataseAmino Acid SequenceBacterial ProteinsComputer SimulationCyclin-Dependent KinasesEscherichia coliEscherichia coli ProteinsGenome, BacterialMolecular Sequence DataMycobacterium tuberculosisPlasmidsAlkaline PhosphataseBacterial ProteinsCyclin-Dependent KinasesEscherichia coli ProteinsphoA protein, E coli

Identifiers

PMID10722636
PMCPMC97420
OpenAlexW2167912077

What OpenQuestion holds

Textmetadata
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.