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A Comprehensive Mapping of the Druggable Cavities within the SARS-CoV-2 Therapeutically Relevant Proteins by Combining Pocket and Docking Searches as Implemented in Pockets 2.0
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 4605286
Author(s) Gervasoni, Silvia; Vistoli, Giulio; Talarico, Carmine; Manelfi, Candida; Beccari, Andrea R.; Studer, Gabriel; Tauriello, Gerardo; Waterhouse, Andrew Mark; Schwede, Torsten; Pedretti, Alessandro
Author(s) at UniBasel Schwede, Torsten
Studer, Gabriel
Tauriello, Gerardo
Waterhouse, Andrew
Year 2020
Title A Comprehensive Mapping of the Druggable Cavities within the SARS-CoV-2 Therapeutically Relevant Proteins by Combining Pocket and Docking Searches as Implemented in Pockets 2.0
Journal International journal of molecular sciences
Volume 21
Number 14
Pages / Article-Number 5152
Keywords SARS-CoV-2; blind docking; docking simulations; pocket druggability; pocket search; virtual screening
Mesh terms Antiviral Agents, chemistry; Betacoronavirus, drug effects; Binding Sites, drug effects; Coronavirus Infections, drug therapy; Drug Repositioning; Humans; Molecular Docking Simulation; Pandemics; Pneumonia, Viral, drug therapy; Protein Binding, drug effects; Protein Conformation; Viral Proteins, chemistry
Abstract (1) Background: Virtual screening studies on the therapeutically relevant proteins of the severe acute respiratory syndrome Coronavirus 2 (SARS-CoV-2) require a detailed characterization of their druggable binding sites, and, more generally, a convenient pocket mapping represents a key step for structure-based in silico studies; (2) Methods: Along with a careful literature search on SARS-CoV-2 protein targets, the study presents a novel strategy for pocket mapping based on the combination of pocket (as performed by the well-known FPocket tool) and docking searches (as performed by PLANTS or AutoDock/Vina engines); such an approach is implemented by the Pockets 2.0 plug-in for the VEGA ZZ suite of programs; (3) Results: The literature analysis allowed the identification of 16 promising binding cavities within the SARS-CoV-2 proteins and the here proposed approach was able to recognize them showing performances clearly better than those reached by the sole pocket detection; and (4) Conclusions: Even though the presented strategy should require more extended validations, this proved successful in precisely characterizing a set of SARS-CoV-2 druggable binding pockets including both orthosteric and allosteric sites, which are clearly amenable for virtual screening campaigns and drug repurposing studies. All results generated by the study and the Pockets 2.0 plug-in are available for download.
Publisher Multidisciplinary Digital Publishing Institute
ISSN/ISBN 1661-6596 ; 1422-0067
edoc-URL https://edoc.unibas.ch/78958/
Full Text on edoc Available
Digital Object Identifier DOI 10.3390/ijms21145152
PubMed ID http://www.ncbi.nlm.nih.gov/pubmed/32708196
ISI-Number 000557707300001
 
   

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