Evidence map›Paper›PMID 26902758›Full record

ArticleAntimicrobial agents and chemotherapy2016

Combined Bioinformatic and Rational Design Approach To Develop Antimicrobial Peptides against Mycobacterium tuberculosis.

C Seth Pearson, Zachary Kloos, Brian Murray, Ebot Tabe, Monica Gupta, Jun Ha Kwak, Pankaj Karande, Kathleen A McDonough, Georges Belfort

Open access · bronzeAbstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

9 citing papers in PubMed, 21 citations in OpenAlex.

  1. Peptide-Based Strategies AgainstPharmaceuticals (Basel, Switzerland) · 2025
    Review
  2. Article
  3. Article
  4. Article
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  9. Mechanism of Four de Novo Designed Antimicrobial Peptides.The Journal of biological chemistry · 2016
    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

9 authors at 2 institutions in 1 country.

C Seth PearsonHoward P. Isermann Department of Chemical and Biological Engineering and Center for Biotechnology and Interdisciplinary Studies, RPI, Troy, New York, USA.
Zachary KloosDivision of Infectious Diseases, Wadsworth Center, New York State Department of Health, Albany, New York, USA.
Brian MurrayHoward P. Isermann Department of Chemical and Biological Engineering and Center for Biotechnology and Interdisciplinary Studies, RPI, Troy, New York, USA.
Ebot TabeDivision of Infectious Diseases, Wadsworth Center, New York State Department of Health, Albany, New York, USA.
Monica GuptaDivision of Infectious Diseases, Wadsworth Center, New York State Department of Health, Albany, New York, USA.
Jun Ha KwakHoward P. Isermann Department of Chemical and Biological Engineering and Center for Biotechnology and Interdisciplinary Studies, RPI, Troy, New York, USA.
Pankaj KarandeHoward P. Isermann Department of Chemical and Biological Engineering and Center for Biotechnology and Interdisciplinary Studies, RPI, Troy, New York, USA.
Kathleen A McDonoughDivision of Infectious Diseases, Wadsworth Center, New York State Department of Health, Albany, New York, USA Department of Biomedical Sciences, University at Albany, SUNY, Albany, New York, USA kathleen.mcdonough@health.ny.gov belfog@rpi.edu.
Georges BelfortHoward P. Isermann Department of Chemical and Biological Engineering and Center for Biotechnology and Interdisciplinary Studies, RPI, Troy, New York, USA kathleen.mcdonough@health.ny.gov belfog@rpi.edu.
New York State Department of Health · USWadsworth Center · US

Funding

Modular and Project Based Training to Enhance Rigor and Reproducibility in Research for Diverse Biomedical CareersT32GM067545 · NIGMS · RENSSELAER POLYTECHNIC INSTITUTE · PI VASHISHTH, DEEPAK · 2004 to 2020
$3.0M
Training in Biodefense and Emerging Infectious DiseaseT32AI055429 · NIAID · WADSWORTH CENTER · PI MCDONOUGH, KATHLEEN A · 2004 to 2014
$2.2M
NIAID NIH HHS T32 AI055429NIGMS NIH HHS T32 GM067545
6 · The paper itself

Abstract

Drug-resistant pathogens are a growing problem, and novel strategies are needed to combat this threat. Among the most significant of these resistant pathogens is Mycobacterium tuberculosis, which is an unusually difficult microbial target due to its complex membrane. Here, we design peptides for specific activity against M. tuberculosis using a combination of "database filtering" bioinformatics, protein engineering, and de novo design. Several variants of these peptides are structurally characterized to validate the design process. The designed peptides exhibit potent activity (MIC values as low as 4 μM) against M. tuberculosis and also exhibit broad activity against a host of other clinically relevant pathogenic bacteria such as Gram-positive bacteria (Streptococcus) and Gram-negative bacteria (Escherichia coli). They also display excellent selectivity, with low cytotoxicity against cultured macrophages and lung epithelial cells. These first-generation antimicrobial peptides serve as a platform for the design of antibiotics and for investigating structure-activity relationships in the context of the M. tuberculosis membrane. The antimicrobial peptide design strategy is expected to be generalizable for any pathogen for which an activity database can be created.

Indexed as

Anti-Bacterial AgentsAntimicrobial Cationic PeptidesComputational BiologyGram-Negative BacteriaGram-Positive BacteriaMicrobial Sensitivity TestsMycobacterium tuberculosisStructure-Activity RelationshipAnti-Bacterial AgentsAntimicrobial Cationic Peptides

Identifiers

PMID26902758
PMCPMC4862459
OpenAlexW2280879875

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.