Evidence map›Paper›PMID 27089856›Full record

ArticleScientific reports2016

Leveraging family-specific signatures for AMP discovery and high-throughput annotation.

Faiza Hanif Waghu, Ram Shankar Barai, Susan Idicula-Thomas

Open access · goldAbstract readValidation Study
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Mining the UniProtKB/Swiss-Prot database for antimicrobial peptides.Protein science : a publication of the Protein Society · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Anaerobic gut fungi are an untapped reservoir of natural products.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  8. Article
  9. Collection of antimicrobial peptides database and its derivatives: Applications and beyond.Protein science : a publication of the Protein Society · 2020
    Article
  10. 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

3 authors at 1 institution in 1 country.

Faiza Hanif WaghuBiomedical Informatics Centre of Indian Council of Medical Research, National Institute for Research in Reproductive Health, Mumbai-400012, India.
Ram Shankar BaraiBiomedical Informatics Centre of Indian Council of Medical Research, National Institute for Research in Reproductive Health, Mumbai-400012, India.
Susan Idicula-ThomasBiomedical Informatics Centre of Indian Council of Medical Research, National Institute for Research in Reproductive Health, Mumbai-400012, India.
National Institute for Research in Reproductive Health · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial peptides (AMPs) are diverse, biologically active, essential components of the innate immune system. As compared to conventional antibiotics, AMPs exhibit broad spectrum antimicrobial activity, reduced toxicity and reduced microbial resistance. They are widely researched for their therapeutic potential, especially against multi-drug resistant pathogens. AMPs are known to have family-specific sequence composition, which can be mined for their discovery and rational design. Here, we present a detailed family-based study on AMP families. The study involved the use of sequence signatures represented by patterns and hidden Markov models (HMMs) present in experimentally studied AMPs to identify novel AMPs. Along with AMPs, peptides hitherto lacking antimicrobial annotation were also retrieved and wet-lab studies on randomly selected sequences proved their antimicrobial activity against Escherichia coli. CAMPSign, a webserver has been created for researchers to effortlessly exploit the use of AMP family signatures for identification of AMPs. The webserver is available online at www.campsign.bicnirrh.res.in. In this work, we demonstrate an optimised and experimentally validated protocol along with a freely available webserver that uses family-based sequence signatures for accelerated discovery of novel AMPs.

Indexed as

High-Throughput Screening AssaysAmino Acid SequenceAntimicrobial Cationic PeptidesSequence Homology, Amino AcidAntimicrobial Cationic Peptides

Identifiers

PMID27089856
PMCPMC4836297
OpenAlexW2341688251

What OpenQuestion holds

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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.