PacDOCK: A Web Server for Positional Distance-Based and Interaction-Based Analysis of Docking Results.
RMSD calculation
atom matching
binding mode
clustering
docking assessment
molecular docking
molecular visualization
protein–ligand interactions
structure-based drug design
web server
Journal
Molecules (Basel, Switzerland)
ISSN: 1420-3049
Titre abrégé: Molecules
Pays: Switzerland
ID NLM: 100964009
Informations de publication
Date de publication:
14 Oct 2022
14 Oct 2022
Historique:
received:
25
08
2022
revised:
06
10
2022
accepted:
12
10
2022
entrez:
27
10
2022
pubmed:
28
10
2022
medline:
29
10
2022
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 36296477
pii: molecules27206884
doi: 10.3390/molecules27206884
pmc: PMC9610523
pii:
doi:
Substances chimiques
Ligands
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Ministry of Education, Universities and Research
ID : RFO2020
Organisme : Ministry of Education, Universities and Research
ID : MIUR PRIN2020 2020833Y75
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