Evidence map›Paper›PMID 31163671›Full record

ArticlePharmaceuticals (Basel, Switzerland)2019

De Novo Design and In Vitro Testing of Antimicrobial Peptides against Gram-Negative Bacteria.

Boris Vishnepolsky, George Zaalishvili, Margarita Karapetian, Tornike Nasrashvili, Nato Kuljanishvili, Andrei Gabrielian, Alex Rosenthal, Darrell E Hurt, Michael Tartakovsky, Maya Grigolava and 1 more

Abstract read
In one paragraph

Article in Pharmaceuticals (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
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  9. Article
  10. Article
  11. Article
  12. Article
  13. Diversity of Antimicrobial Peptides in Silkworm.Life (Basel, Switzerland) · 2023
    Review
  14. Article
  15. Article
  16. Microbiology spectrum · 2022
    Article
  17. Review
  18. Article
  19. Review
  20. Review
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

11 authors.

Boris VishnepolskyIvane Beritashvili Center of Experimental Biomedicine, 0160 Tbilisi, Georgia. b.vishnepolsky@lifescience.org.ge.
George ZaalishviliLabarotory of Animal Molecular Biology, Agricultural University of Georgia, 240 David Aghmashenebeli Alley, 0159 Tbilisi, Georgia. gi.zaalishvili@agruni.edu.ge.
Margarita KarapetianLabarotory of Animal Molecular Biology, Agricultural University of Georgia, 240 David Aghmashenebeli Alley, 0159 Tbilisi, Georgia. m.karapetian@agruni.edu.ge.
Tornike NasrashviliLabarotory of Animal Molecular Biology, Agricultural University of Georgia, 240 David Aghmashenebeli Alley, 0159 Tbilisi, Georgia. tnasr2015@agruni.edu.ge.
Nato KuljanishviliLabarotory of Animal Molecular Biology, Agricultural University of Georgia, 240 David Aghmashenebeli Alley, 0159 Tbilisi, Georgia. nkulj2014@agruni.edu.ge.
Andrei GabrielianOffice of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA. gabr@niaid.nih.gov.
Alex RosenthalOffice of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA. alexr@niaid.nih.gov.
Darrell E HurtOffice of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA. darrellh@niaid.nih.gov.
Michael TartakovskyOffice of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA. mtartakovs@niaid.nih.gov.
Maya GrigolavaIvane Beritashvili Center of Experimental Biomedicine, 0160 Tbilisi, Georgia. maia.grigolava@science.org.ge.
Malak PirtskhalavaIvane Beritashvili Center of Experimental Biomedicine, 0160 Tbilisi, Georgia. m.pirtskhalava@lifescience.org.ge.

Funding

International Science and Technology Center G-2102
6 · The paper itself

Abstract

Antimicrobial peptides (AMPs) have been identified as a potentially new class of antibiotics to combat bacterial resistance to conventional drugs. The design of de novo AMPs with high therapeutic indexes, low cost of synthesis, high resistance to proteases and high bioavailability remains a challenge. Such design requires computational modeling of antimicrobial properties. Currently, most computational methods cannot accurately calculate antimicrobial potency against particular strains of bacterial pathogens. We developed a tool for AMP prediction (Special Prediction (SP) tool) and made it available on our Web site (https://dbaasp.org/prediction). Based on this tool, a simple algorithm for the design of de novo AMPs (DSP) was created. We used DSP to design short peptides with high therapeutic indexes against gram-negative bacteria. The predicted peptides have been synthesized and tested in vitro against a panel of gram-negative bacteria, including drug resistant ones. Predicted activity against

Indexed as

antimicrobial peptidesdrug designpredictive models

Identifiers

PMID31163671
PMCPMC6631481

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.