ASO Therapy
ASO Therapies: Rapidly Evolving RNA-Based Therapeutics
Antisense oligonucleotide (ASO) technology allows targeted modulation of gene expression via short nucleotide sequences. Advances in ASO chemistry have improved stability, binding affinity, and tissue specificity, expanding their potential applications.
From Nusinersen, the FDA-approved 2016 drug for Spinal Muscular Dystrophy (SMD), to Tofersen, designed for SOD1-ALS and FDA-approved in 2023, multiple ASO approvals highlight their therapeutic potential in addressing specific genetic mutations linked to neurodegenerative disorders, paving the way for personalized treatments.
Antisense Oligonucleotide-based drugs are one of the promising therapeutic agents for the treatment of various human diseases. However, several issues must be overcome in the development of ASO based drugs such as:
Delivery of ASOs
Insufficient biological activity
Short blood circulating half-life
Off-target side effects
Generations of ASO Therapies
First Generation
Second Generation
Second-generation ASOs feature modifications such as 2′-O-alkyl, 2′-OMe, and 2′-MOE, which enhance binding affinity, efficacy, nuclease resistance, improve RNA affinity, and mitigate immunostimulatory effects.
Third Generation
Third-generation ASOs employ furanose ring chemical modifications, enhancing ASO-RNA hybridization, improving nuclease resistance, binding, pharmacokinetics, and biostability, while reducing toxicity.
Revolutionizing ASO therapy with AI and innovative approaches
In silico tools aid in providing a better understanding of available genomic and transcriptomic data, which includes sequence, structure, expression, and function.
Identify targets, including Canonical and Non-Canonical splice site prediction
Predict target and ASO structures and examine complex
Identify and verify targets across species
Design ASOs, make modifications, and conduct simulations to find the most appropriate drug
Aganitha’s Point of View
We utilize Generative AI and ML in Antisense Oligonucleotide therapy to enhance target design, and optimize treatment.
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Predicting the most effective sequences for targeting specific RNA molecules, and analyzing the structural and sequence properties of the target RNA to optimize ASO design for enhanced binding affinity and specificity.
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Collating omics data, such as evolutionary scores, biomarkers, and regulatory elements, from varied authentic sources to facilitate target identification.
Examples of solutions we have developed for our clients
Featurized data to build the model
Predicted the structure
Predicted the structures of the target mRNA and ASO to better understand the formation of Watson-Crick pairs between the target RNA and ASO. This process depends on the structural availability and thermodynamic stability of both structures.
Examined the stability of target and ASO complex
Found common targets between species
Our advanced in silico simulations allowed for the identification of viral vectors with higher efficacy in targeting specific tissue types, for example, targeting blood-brain barrier receptors.