Evidence map›Paper›PMID 36978331›Full record

ArticleAntibiotics (Basel, Switzerland)2023

Comparative Assessment of Docking Programs for Docking and Virtual Screening of Ribosomal Oxazolidinone Antibacterial Agents.

McKenna E Buckley, Audrey R N Ndukwe, Pramod C Nair, Santu Rana, Kathryn E Fairfull-Smith, Neha S Gandhi

Open access · goldFull text read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2023. 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
3.1field-weighted citation impact, top 8% 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, 20 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Phytochemical Characterization and Anti-Molecules (Basel, Switzerland) · 2025
    Article
  9. 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

6 authors at 3 institutions in 1 country.

McKenna E BuckleyCentre for Genomics and Personalised Health, Queensland University of Technology, Brisbane, QLD 4059, Australia.ORCID 0000-0002-3177-5234
Audrey R N NdukweSchool of Chemistry and Physics, Queensland University of Technology, Brisbane, QLD 4000, Australia.ORCID 0000-0002-1852-8917
Pramod C NairDiscipline of Clinical Pharmacology, College of Medicine and Public Health, Flinders University, Adelaide, SA 5042, Australia.ORCID 0000-0002-8630-0121
Santu RanaApplied Artificial Intelligence Institute (A2I2), Deakin University, Geelong, VIC 3220, Australia.ORCID 0000-0003-2247-850X
Kathryn E Fairfull-SmithSchool of Chemistry and Physics, Queensland University of Technology, Brisbane, QLD 4000, Australia.ORCID 0000-0002-9412-632X
Neha S GandhiCentre for Genomics and Personalised Health, Queensland University of Technology, Brisbane, QLD 4059, Australia.ORCID 0000-0003-3119-6731
Queensland University of Technology · AUDeakin University · AUFlinders University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oxazolidinones are a broad-spectrum class of synthetic antibiotics that bind to the 50S ribosomal subunit of Gram-positive and Gram-negative bacteria. Many crystal structures of the ribosomes with oxazolidinone ligands have been reported in the literature, facilitating structure-based design using methods such as molecular docking. It would be of great interest to know in advance how well docking methods can reproduce the correct ligand binding modes and rank these correctly. We examined the performance of five molecular docking programs (AutoDock 4, AutoDock Vina, DOCK 6, rDock, and RLDock) for their ability to model ribosomal-ligand interactions with oxazolidinones. Eleven ribosomal crystal structures with oxazolidinones as the ligands were docked. The accuracy was evaluated by calculating the docked complexes' root-mean-square deviation (RMSD) and the program's internal scoring function. The rankings for each program based on the median RMSD between the native and predicted were DOCK 6 > AD4 > Vina > RDOCK >> RLDOCK. Results demonstrate that the top-performing program, DOCK 6, could accurately replicate the ligand binding in only four of the eleven ribosomes due to the poor electron density of said ribosomal structures. In this study, we have further benchmarked the performance of the DOCK 6 docking algorithm and scoring in improving virtual screening (VS) enrichment using the dataset of 285 oxazolidinone derivatives against oxazolidinone binding sites in the

Indexed as

antibioticsDOCK 6molecular dockingoxazolidinonesre-scoringribosomesrRNAVina

Identifiers

PMID36978331
PMCPMC10044086
OpenAlexW4322500885

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read32
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.