Evidence map›Paper›PMID 36296477›Full record

ArticleMolecules (Basel, Switzerland)2022

PacDOCK: A Web Server for Positional Distance-Based and Interaction-Based Analysis of Docking Results.

Jacopo Carbone, Alessia Ghidini, Antonio Romano, Luca Gentilucci, Francesco Musiani

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2022. 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
–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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Design and Pharmacological Characterization of αJournal of medicinal chemistry · 2023
    Article
  8. Review
  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

5 authors.

Jacopo CarboneDepartment of Chemistry "G. Ciamician", University of Bologna, Via Selmi 2, 40126 Bologna, Italy.ORCID 0000-0002-8743-7859
Alessia GhidiniDepartment of Chemistry "G. Ciamician", University of Bologna, Via Selmi 2, 40126 Bologna, Italy.ORCID 0000-0003-1063-7067
Antonio RomanoWiraki, Via Laurentina 749, 00143 Rome, Italy.
Luca GentilucciDepartment of Chemistry "G. Ciamician", University of Bologna, Via Selmi 2, 40126 Bologna, Italy.ORCID 0000-0001-9134-3161
Francesco MusianiLaboratory of Bioinorganic Chemistry, Department of Pharmacy and Biotechnology, University of Bologna, Viale G. Fanin 40, 40127 Bologna, Italy.ORCID 0000-0003-0200-1712

Funding

Ministry of Education, Universities and Research MIUR PRIN2020 2020833Y75Ministry of Education, Universities and Research RFO2020
6 · The paper itself

Abstract

Molecular docking is a key method for structure-based drug design used to predict the conformations assumed by small drug-like ligands when bound to their target. However, the evaluation of molecular docking studies can be hampered by the lack of a free and easy to use platform for the complete analysis of results obtained by the principal docking programs. To this aim, we developed PacDOCK, a freely available and user-friendly web server that comprises a collection of tools for positional distance-based and interaction-based analysis of docking results, which can be provided in several file formats. PacDOCK allows a complete analysis of molecular docking results through root mean square deviation (RMSD) calculation, molecular visualization, and cluster analysis of docked poses. The RMSD calculation compares docked structures with a reference structure, also when atoms are randomly labelled, and their conformational and positional differences can be visualised. In addition, it is possible to visualise a ligand into the target binding pocket and investigate the key receptor-ligand interactions. Moreover, PacDOCK enables the clustering of docking results by identifying a restrained number of clusters from many docked poses. We believe that PacDOCK will contribute to facilitating the analysis of docking results to improve the efficiency of computer-aided drug design.

Indexed as

ComputersBinding SitesLigandsMolecular ConformationMolecular Docking SimulationProtein BindingProtein ConformationLigandsatom matchingbinding modeclusteringdocking assessmentmolecular dockingmolecular visualizationprotein–ligand interactionsRMSD calculationstructure-based drug designweb server

Identifiers

PMID36296477
PMCPMC9610523

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.