Evidence map›Paper›PMID 29218506›Full record

ReviewProbiotics and antimicrobial proteins2018

In Silico Discovery of Novel Ligands for Antimicrobial Lipopeptides for Computer-Aided Drug Design.

Satya Eswari Jujjavarapu, Swasti Dhagat

Abstract readReview
PubMed Publisher
In one paragraph

Review in Probiotics and antimicrobial proteins, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Translational Horizons in Computer-Aided Drug Discovery: BridgingAnti-inflammatory & anti-allergy agents in medicinal chemistry · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. 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

2 authors.

Satya Eswari JujjavarapuDepartment of Biotechnology, National Institute of Technology Raipur, Raipur, 492010, India. satyaeswarij.bt@nitrr.ac.in.ORCID 0000-0001-7154-6615
Swasti DhagatDepartment of Biotechnology, National Institute of Technology Raipur, Raipur, 492010, India.

Funding

Chhattisgarh Council of Science and Technology 2487/CCOST/MRP/2016, Raipur dated 25.01.2016
6 · The paper itself

Abstract

The increase in antibiotic-resistant strains of pathogens has created havoc worldwide. These antibiotic-resistant pathogens require potent drugs for their inhibition. Lipopeptides, which are produced as secondary metabolites by many microorganisms, have the ability to act as potent safe drugs. Lipopeptides are amphiphilic molecules containing a lipid chain bound to the peptide. They exhibit broad-spectrum activities against both bacteria and fungi. Other than their antimicrobial properties, they have displayed anti-cancer properties as well, but their mechanism of action is not understood. In silico drug design uses computer simulation to discover and develop new drugs. This technique reduces the need of expensive and tedious lab work and clinical trials, but this method becomes a challenge due to complex structures of lipopeptides. Specific agonists (ligands) must be identified to initiate a physiological response when combined with a receptor (lipopeptide). In silico drug design and homology modeling talks about the interaction between ligands and the binding sites. This review summarizes the mechanism of selected lipopeptides, their respective ligands, and in silico drug design.

Indexed as

Drug DesignAnimalsAnti-Bacterial AgentsBacteriaBacterial InfectionsComputer SimulationHumansLigandsLipopeptidesAnti-Bacterial AgentsLigandsLipopeptidesBacillomycinDaptomycinIturin ALipopeptidesPolymyxinSurfactin

Identifiers

What OpenQuestion holds

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Registered trials

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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.