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siRNA Discovery

Integrated workflows for siRNA design, screening, and lead selection.
Rational Design
Sequence Optimization
Screening & Lead Selection

Rational siRNA Discovery Strategy

Effective siRNA discovery begins with rational sequence design and multi-parameter candidate evaluation. Nona applies bioinformatics-driven workflows supporting target gene sequence analysis, sequence generation, homologous sequence alignment, and early candidate filtering based on factors such as off-target risk, physicochemical and structural properties, sequence composition, and predicted immunogenicity.

Candidate libraries are further prioritized through integrated computational and experimental evaluation workflows supporting downstream screening and lead selection.

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A Rational Approach

siRNA Discovery Workflow

Sequence Optimization & Chemical Modification

siRNA candidates can be further optimized to improve silencing efficiency, specificity, stability, and overall therapeutic performance. Chemical modification and sequence refinement strategies, including backbone, sugar, and base modifications, may be evaluated to support nuclease resistance, reduce off-target activity, improve pharmacological properties, and enhance downstream developability.

Screening & Lead Selection

Candidate siRNA libraries undergo functional screening and experimental evaluation workflows supporting downstream lead prioritization. Screening approaches may incorporate on-target and off-target activity assessment, overexpression and endogenous expression cell line models, in vitro functional assays, and toxicity prediction workflows to evaluate silencing activity, specificity, and overall candidate performance.

Integrated workflows can further support assay development, in vitro characterization, and candidate advancement based on therapeutic objectives and downstream development considerations.

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