The company's innovative approach aims to improve the efficiency of drug discovery and enhance the specificity and efficacy of potential therapeutics. The next step for Rakovina Therapeutics is to select a lead candidate molecule based on wet lab validation for target selectivity, metabolic and pharmacokinetic parameters, CNS penetration, and activity against cancer.
Key takeaways:
- Rakovina Therapeutics presented initial results of its Deep Docking Artificial Intelligence (AI) drug discovery screening at the Society for Neuro-Oncology (SNO) Annual Meeting.
- The presentation highlighted the use of AI in identifying selective inhibitors of PARP-1, a key enzyme involved in DNA repair and brain cancer progression.
- The company's innovative approach aims to improve the efficiency of drug discovery and enhance the specificity and efficacy of potential therapeutics.
- Rakovina Therapeutics is planning to select a lead candidate molecule based on wet lab validation for target selectivity, metabolic and pharmacokinetic parameters, CNS penetration, and activity against cancer.