Evidence map›Paper›PMID 29133831›Full record

ArticleScientific reports2017

Protein-Ligand Blind Docking Using QuickVina-W With Inter-Process Spatio-Temporal Integration.

Nafisa M Hassan, Amr A Alhossary, Yuguang Mu, Chee-Keong Kwoh

Abstract readEvaluation Study
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 116 papers.

0numbers the graph read from it
0cells of the map it votes in
116citing 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

116 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. EasyDock 1.3: An Automated Pipeline for Molecular Docking.Journal of chemical information and modeling · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. ACS medicinal chemistry letters · 2026
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. [Polyphyllin VII inhibits osteosarcoma xenograft growth in mice by inducing ferroptosisNan fang yi ke da xue xue bao = Journal of Southern Medical University · 2025
    Article

56 more citing papers are in PubMed but not listed here.

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

4 authors.

Nafisa M HassanSchool of Biological Sciences, Nanyang Technological University, Singapore, Singapore.
Amr A AlhossarySchool of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore.ORCID 0000-0002-4470-5817
Yuguang MuSchool of Biological Sciences, Nanyang Technological University, Singapore, Singapore. ygmu@ntu.edu.sg.
Chee-Keong KwohSchool of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore. asckkwoh@ntu.edu.sg.ORCID 0000-0002-8547-6387

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

"Virtual Screening" is a common step of in silico drug design, where researchers screen a large library of small molecules (ligands) for interesting hits, in a process known as "Docking". However, docking is a computationally intensive and time-consuming process, usually restricted to small size binding sites (pockets) and small number of interacting residues. When the target site is not known (blind docking), researchers split the docking box into multiple boxes, or repeat the search several times using different seeds, and then merge the results manually. Otherwise, the search time becomes impractically long. In this research, we studied the relation between the search progression and Average Sum of Proximity relative Frequencies (ASoF) of searching threads, which is closely related to the search speed and accuracy. A new inter-process spatio-temporal integration method is employed in Quick Vina 2, resulting in a new docking tool, QuickVina-W, a suitable tool for "blind docking", (not limited in search space size or number of residues). QuickVina-W is faster than Quick Vina 2, yet better than AutoDock Vina. It should allow researchers to screen huge ligand libraries virtually, in practically short time and with high accuracy without the need to define a target pocket beforehand.

Indexed as

Drug DesignAlgorithmsBinding SitesDatabases, ProteinDatasets as TopicLigandsMolecular Docking SimulationProtein BindingProteinsSoftwareSpatio-Temporal AnalysisLigandsProteins

Identifiers

PMID29133831
PMCPMC5684369

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.