Evidence map›Paper›PMID 34244831›Full record

ArticleArchives of microbiology2021

Anti-mycobacterial activity evaluation of designed peptides: cryptic and database filtering based approach.

Sneha Raj, Umamageswaran Venugopal, Garima Pant, Mitra Kalyan, Jesu Arockiaraj, Manju Y Krishnan, Mukesh Pasupuleti

Abstract read
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In one paragraph

Article in Archives of microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Frontiers in immunology · 2023
    Review
  6. Evolutionary andCurrent research in microbial sciences · 2023
    Article
  7. 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

7 authors.

Sneha RajMicrobiology Division, CSIR-Central Drug Research Institute, Sector 10, Jankipuram Extension, Sitapur Road, Lucknow, 226031, India.
Umamageswaran VenugopalMicrobiology Division, CSIR-Central Drug Research Institute, Sector 10, Jankipuram Extension, Sitapur Road, Lucknow, 226031, India.
Garima PantElectron Microscopy Unit, CSIR-Central Drug Research Institute, Sector 10, Jankipuram Extension, Sitapur Road, Lucknow, 226031, India.
Mitra KalyanElectron Microscopy Unit, CSIR-Central Drug Research Institute, Sector 10, Jankipuram Extension, Sitapur Road, Lucknow, 226031, India.
Jesu ArockiarajSRM Research Institute, SRM Institute of Science and Technology, Kattankulathur, Chennai, Tamil Nadu, 603 203, India.
Manju Y KrishnanMicrobiology Division, CSIR-Central Drug Research Institute, Sector 10, Jankipuram Extension, Sitapur Road, Lucknow, 226031, India.
Mukesh PasupuletiMicrobiology Division, CSIR-Central Drug Research Institute, Sector 10, Jankipuram Extension, Sitapur Road, Lucknow, 226031, India. mukesh_p78@yahoo.com.ORCID http://orcid.org/0000-0001-6337-6257

Funding

Department of Biotechnology , Ministry of Science and Technology BT/PR10484/MED/29/281/2013Science and Engineering Research Board grant no.: SB/YS/LS-321/2013
6 · The paper itself

Abstract

Worldwide, TB is one of the deadly airborne diseases, which accounts for 10.4 million deaths annually. Serious toxicity issue, prolonged treatment regimens of the current drugs, rise in multidrug-resistant strains, and the unique defensive mechanism makes the development of novel therapeutic molecules against Mycobacterium tuberculosis (MT) an urgent need. As MT has a lengthy latent phase and unique cell wall architecture, a reasonable approach is needed to find molecules having a different killing mechanism rather than traditional approaches. Host defence peptides (HDPs) will be the most promising alternative, potential therapeutic candidates as they target the microbial membrane in particular and are an essential part of the innate immunity of humans. This works demonstrates the utility of "Database filtering" and three-dimensional (3D) modelling approach in finding novel AMPs with appreciable activity towards MT. Results of this study indicate that peptides with 70% hydrophobicity, but without hydrophobicity patches (> 4 hydrophobic amino acids in series) and charge of + 4 or + 5 are most likely to be good anti-tubercular candidates.

Indexed as

Antitubercular AgentsMycobacterium tuberculosisAntimicrobial Cationic PeptidesHumansAntimicrobial Cationic PeptidesAntitubercular AgentsAnalogous peptideCell membraneHost defence peptidesMycobacterium tuberculosisTuberculosis

Identifiers

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.