Designing Anti-Influenza Aptamers: Novel Quantitative Structure Activity Relationship Approach Gives Insights into Aptamer – Virus Interaction

Autor: Silvia Noiman, Boaz Musafia, Rony Oren-Banaroya
Jazyk: angličtina
Rok vydání: 2014
Předmět:
Quantitative structure–activity relationship
Viral Diseases
Drug Research and Development
Viral protein
Aptamer
Hemagglutinin (influenza)
lcsh:Medicine
Computational biology
medicine.disease_cause
Biochemistry
Antiviral Agents
Virus
Madin Darby Canine Kidney Cells
Structure-Activity Relationship
Computational Chemistry
Dogs
Influenza A Virus
H1N1 Subtype

Orthomyxoviridae Infections
Nucleic Acids
Molecular Cell Biology
Drug Discovery
medicine
Influenza A virus
Medicine and Health Sciences
Animals
Structural motif
lcsh:Science
Pharmacology
Multidisciplinary
biology
Oligonucleotide
Nucleotides
Influenza A Virus
H3N2 Subtype

lcsh:R
Biology and Life Sciences
Computational Biology
DNA
Cell Biology
Aptamers
Nucleotide

Virology
Influenza
Chemistry
Infectious Diseases
Drug Design
Physical Sciences
biology.protein
lcsh:Q
Research Article
Biotechnology
Zdroj: PLoS ONE
PLoS ONE, Vol 9, Iss 5, p e97696 (2014)
ISSN: 1932-6203
Popis: This study describes the development of aptamers as a therapy against influenza virus infection. Aptamers are oligonucleotides (like ssDNA or RNA) that are capable of binding to a variety of molecular targets with high affinity and specificity. We have studied the ssDNA aptamer BV02, which was designed to inhibit influenza infection by targeting the hemagglutinin viral protein, a protein that facilitates the first stage of the virus' infection. While testing other aptamers and during lead optimization, we realized that the dominant characteristics that determine the aptamer's binding to the influenza virus may not necessarily be sequence-specific, as with other known aptamers, but rather depend on general 2D structural motifs. We adopted QSAR (quantitative structure activity relationship) tool and developed computational algorithm that correlate six calculated structural and physicochemical properties to the aptamers' binding affinity to the virus. The QSAR study provided us with a predictive tool of the binding potential of an aptamer to the influenza virus. The correlation between the calculated and actual binding was R2 = 0.702 for the training set, and R2 = 0.66 for the independent test set. Moreover, in the test set the model's sensitivity was 89%, and the specificity was 87%, in selecting aptamers with enhanced viral binding. The most important properties that positively correlated with the aptamer's binding were the aptamer length, 2D-loops and repeating sequences of C nucleotides. Based on the structure-activity study, we have managed to produce aptamers having viral affinity that was more than 20 times higher than that of the original BV02 aptamer. Further testing of influenza infection in cell culture and animal models yielded aptamers with 10 to 15 times greater anti-viral activity than the BV02 aptamer. Our insights concerning the mechanism of action and the structural and physicochemical properties that govern the interaction with the influenza virus are discussed.
Databáze: OpenAIRE