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Virtual screening of potential inhibitors from TCM for the CPSF30 binding site on the NS1A protein of influenza A virus
- Source :
- Journal of Molecular Modeling. 20
- Publication Year :
- 2014
- Publisher :
- Springer Science and Business Media LLC, 2014.
-
Abstract
- Inhibition of CPSF30 function by the effector domain of influenza A virus of non-structural protein 1 (NS1A) protein plays a critical role in the suppression of host key antiviral response. The CPSF30-binding site of NS1A appears to be a very attractive target for the development of new drugs against influenza A virus. In this study, structure-based molecular docking was utilized to screen more than 30,000 compounds from a Traditional Chinese Medicine (TCM) database. Four drug-like compounds were selected as potential inhibitors for the CPSF30-binding site of NS1A. Docking conformation analysis results showed that these potential inhibitors could bind to the CPSF30-binding site with strong hydrophobic interactions and weak hydrogen bonds. Molecular dynamics simulations and MM-PBSA calculations suggested that two of the inhibitors, compounds 32056 and 31674, could stably bind to the CPSF30-binding site with high binding free energy. These two compounds could be modified to achieve higher binding affinity, so that they may be used as potential leads in the development of new anti-influenza drugs.
- Subjects :
- Databases, Factual
Molecular Dynamics Simulation
Viral Nonstructural Proteins
Biology
medicine.disease_cause
Antiviral Agents
Molecular Docking Simulation
Catalysis
Inorganic Chemistry
Hydrophobic effect
Influenza A Virus, H1N1 Subtype
Protein structure
Influenza, Human
Influenza A virus
medicine
Humans
Medicine, Chinese Traditional
Physical and Theoretical Chemistry
Binding site
Virtual screening
Binding Sites
Molecular Structure
Effector
Cleavage And Polyadenylation Specificity Factor
Organic Chemistry
Molecular biology
Protein Structure, Tertiary
Computer Science Applications
Kinetics
Computational Theory and Mathematics
Biochemistry
Docking (molecular)
Host-Pathogen Interactions
Algorithms
Protein Binding
Subjects
Details
- ISSN :
- 09485023 and 16102940
- Volume :
- 20
- Database :
- OpenAIRE
- Journal :
- Journal of Molecular Modeling
- Accession number :
- edsair.doi.dedup.....76a740db93f93cf58c6fdeba5a6d3d35
- Full Text :
- https://doi.org/10.1007/s00894-014-2142-7