Evidence map›Paper›PMID 27879666›Full record

ArticleMolecules (Basel, Switzerland)2016

Structural Analysis of Sortase A Inhibitors.

Georgiana Nitulescu, Anca Zanfirescu, Octavian Tudorel Olaru, Isabela Madalina Nicorescu, George Mihai Nitulescu, Denisa Margina

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

16 citing papers in PubMed, 25 citations in OpenAlex.

  1. Integrative Analysis ofDentistry journal · 2026
    Article
  2. Article
  3. Amino acid variants at the P94 position inbioRxiv : the preprint server for biology · 2026
    Article
  4. Ensemble Docking as a Tool for the Rational Design of PeptidomimeticInternational journal of molecular sciences · 2024
    Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Molecular Docking and Screening Studies of New Natural Sortase A Inhibitors.International journal of molecular sciences · 2017
    Article
  16. 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

6 authors at 1 institution in 1 country.

Georgiana NitulescuFaculty of Pharmacy, "Carol Davila" University of Medicine and Pharmacy, Traian Vuia 6, Bucharest 020956, Romania. georgiana.nitulescu88@gmail.com.
Anca ZanfirescuFaculty of Pharmacy, "Carol Davila" University of Medicine and Pharmacy, Traian Vuia 6, Bucharest 020956, Romania. zanfirescuanca@yahoo.com.
Octavian Tudorel OlaruFaculty of Pharmacy, "Carol Davila" University of Medicine and Pharmacy, Traian Vuia 6, Bucharest 020956, Romania. octav_olaru2002@yahoo.com.
Isabela Madalina NicorescuFaculty of Pharmacy, "Carol Davila" University of Medicine and Pharmacy, Traian Vuia 6, Bucharest 020956, Romania. isabela_nicorescu@yahoo.com.
George Mihai NitulescuFaculty of Pharmacy, "Carol Davila" University of Medicine and Pharmacy, Traian Vuia 6, Bucharest 020956, Romania. nitulescu_mihai@yahoo.com.
Denisa MarginaFaculty of Pharmacy, "Carol Davila" University of Medicine and Pharmacy, Traian Vuia 6, Bucharest 020956, Romania. denisa.margina@gmail.com.
Carol Davila University of Medicine and Pharmacy · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial sortases are cysteine transpeptidases that regulate the covalent linkage of several surface protein virulence factors in Gram-positive bacteria. Virulence factors play significant roles in adhesion, invasion of host tissues, biofilm formation and immune evasion, mediating the bacterial pathogenesis and infectivity. Therefore, sortases are emerging as important targets for the design of new anti-infective agents. We employed a computational study, based on structure derived descriptors and molecular fingerprints, in order to develop simple classification methods which could allow predicting low active or high active SrtA inhibitors. Our results indicate that a highly active SrtA inhibitor has a molecular weight ranging between 180 and 600, contains one up to four nitrogen atoms, up to three oxygen atoms and under 18 hydrogen atoms. Also the hydrogen acceptor number and the molecular flexibility, as assessed by the number of rotatable bounds, have emerged as the most relevant descriptors for SrtA affinity. The Bemis-Murcko scaffolding revealed favoured scaffolds as containing at least two ring structures bonded directly or merged in a condensed cycle. This data represent a valuable tool for identifying new potent SrtA inhibitors, potential anti-virulence agents targeted against Gram-positive bacteria, including multiresistant strains.

Indexed as

AminoacyltransferasesBacterial ProteinsComputational BiologyCysteine EndopeptidasesDrug DesignEnzyme InhibitorsGram-Positive BacteriaHydrogenModels, MolecularMolecular WeightNitrogenOxygenStructure-Activity RelationshipVirulence FactorsAminoacyltransferasesBacterial ProteinsCysteine EndopeptidasesEnzyme InhibitorsHydrogenNitrogenOxygensortase AVirulence Factorsanti-virulence drugsBemis-Murcko scaffoldingclassification methodcysteine transpeptidasesGram-positive bacteriahydrogen bond acceptorsrotatable bonds

Identifiers

PMID27879666
PMCPMC6272945
OpenAlexW2552957725

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.