Evidence map›Paper›PMID 36329825›Full record

ArticleFrontiers in cellular and infection microbiology2022

'Targeting' the search: An upgraded structural and functional repository of antimicrobial peptides for biofilm studies (B-AMP v2.0) with a focus on biofilm protein targets.

Shashank Ravichandran, SaiSupriya Avatapalli, Yatindrapravanan Narasimhan, Karishma S Kaushik, Ragothaman M Yennamalli

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2022. 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
0.4field-weighted citation impact, top 41% 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

7 citing papers in PubMed, 6 citations in OpenAlex.

  1. Artificial intelligence catalyzes antimicrobial peptide design.Synthetic and systems biotechnology · 2027
    Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  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

5 authors at 2 institutions in 1 country.

Shashank RavichandranDepartment of Bioinformatics, School of Chemical and Biotechnology, SASTRA Deemed to be University, Thanjavur, India.
SaiSupriya AvatapalliRemote internship with Human Relevant Infection Biology Group, Pune, India.
Yatindrapravanan NarasimhanDepartment of Bioinformatics, School of Chemical and Biotechnology, SASTRA Deemed to be University, Thanjavur, India.
Karishma S KaushikDepartment of Biotechnology, Savitribai Phule Pune University, Pune, India.
Ragothaman M YennamalliDepartment of Bioinformatics, School of Chemical and Biotechnology, SASTRA Deemed to be University, Thanjavur, India.
SASTRA University · INSavitribai Phule Pune University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial biofilms, often as multispecies communities, are recalcitrant to conventional antibiotics, making the treatment of biofilm infections a challenge. There is a push towards developing novel anti-biofilm approaches, such as antimicrobial peptides (AMPs), with activity against specific biofilm targets. In previous work, we developed Biofilm-AMP, a structural and functional repository of AMPs for biofilm studies (B-AMP v1.0) with more than 5000 structural models of AMPs and a vast library of AMP annotations to existing biofilm literature. In this study, we present an upgraded version of B-AMP, with a focus on existing and novel bacterial biofilm targets. B-AMP v2.0 hosts a curated collection of 2502 biofilm protein targets across 473 bacterial species, with structural protein models and functional annotations from PDB, UniProt, and PubMed databases. The biofilm targets can be searched for using the name of the source organism, and function and type of protein, and results include designated Target IDs (unique to B-AMP v2.0), UniProt IDs, 3D predicted protein structures, PDBQT files, pre-defined protein functions, and relevant scientific literature. To present an example of the combined applicability of both, the AMP and biofilm target libraries in the repository, we present two case studies. In the first case study, we expand an

Indexed as

Antimicrobial Cationic PeptidesAntimicrobial PeptidesAnti-Bacterial AgentsBacteriaBiofilmsMicrobial Sensitivity TestsAnti-Bacterial AgentsAntimicrobial Cationic PeptidesAntimicrobial Peptidesantimicrobial peptidesAutoDockB-AMP repositorybiofilmsbiofilm targetsmolecular dynamics simulationsRoseTTAFold

Identifiers

PMID36329825
PMCPMC9623296
OpenAlexW4306686117

What OpenQuestion holds

Textmetadata
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.