ArticleScientific reports2016
A unique peptide deformylase platform to rationally design and challenge novel active compounds.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed, 34 citations in OpenAlex.
- Decreasing peptide deformylase activity is a beneficial strategy for increasing formaldehyde resistance inbioRxiv : the preprint server for biology · 2026Article
- Bacterial peptide deformylase inhibitors induce prophages in competitors.bioRxiv : the preprint server for biology · 2025Article
- Structures of Legionella pneumophila serogroup 1 peptide deformylase bound to nickel(II) and actinonin.Acta crystallographica. Section F, Structural biology communications · 2025Article
- Inhibitory role of copper and silver nanocomposite on important bacterial and fungal pathogens in rice (Oryza sativa).Scientific reports · 2024Article
- Prediction of Pharmacokinetics of IDP-73152 in Humans Using Physiologically-Based Pharmacokinetics.Pharmaceutics · 2022Article
- Metal utilization in genome-reduced bacteria: Do human mycoplasmas rely on iron?Computational and structural biotechnology journal · 2021Review
- Data on molecular docking of naturally occurring flavonoids with biologically important targets.Data in brief · 2020Article
- Total synthesis of (±)-fumimycin and analogues for biological evaluation as peptide deformylase inhibitors.Tetrahedron · 2019Article
- Discovery of Potential Plant-Derived Peptide Deformylase (PDF) Inhibitors for Multidrug-Resistant Bacteria Using Computational Studies.Journal of clinical medicine · 2018Article
- The C-terminal residue of phage Vp16 PDF, the smallest peptide deformylase, acts as an offset element locking the active conformation.Scientific reports · 2017Article
Corrections and comments
- Erratum issued
Authors and funding
12 authors at 8 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Peptide deformylase (PDF) is considered an excellent target to develop antibiotics. We have performed an extensive characterization of a new PDF from the pathogen Streptococcus agalactiae, showing properties similar to other known PDFs. S. agalactiae PDF could be used as PDF prototype as it allowed to get complete sets of 3-dimensional, biophysical and kinetic data with virtually any inhibitor compound. Structure-activity relationship analysis with this single reference system allowed us to reveal distinct binding modes for different PDF inhibitors and the key role of a hydrogen bond in potentiating the interaction between ligand and target. We propose this protein as an irreplaceable tool, allowing easy and relevant fine comparisons between series, to design, challenge and validate novel series of inhibitors. As proof-of-concept, we report here the design and synthesis of effective specific bacterial PDF inhibitors of an oxadiazole series with potent antimicrobial activity against a multidrug resistant clinical isolate.
Identifiers
What OpenQuestion holds
Registered trials
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.