Rakovina Therapeutics Inc
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$2.75M
-0.57
Rakovina Therapeutics, Inc. focuses on the development of new cancer treatments based on novel DNA-damage response technologies. The company is focused on the development of cancer treatments based on deoxyribonucleic acid (DNA)-damage response powered by Artificial Intelligence (AI) using the proprietary Deep-Docking and Enki platforms. Its drug development pipeline includes kt-2000AI and kt-3000 series. The company is engaged in employing the proprietary Deep Docking AI Platform to rapidly screen billions of potential drug candidates against PARP (kt-2000AI) and other novel DDR targets to generate drug candidates that can be advanced to human trials or developed in collaboration with pharmaceutical partners. Its kt-3000 series represents a novel class of bi-functional small-molecule drug candidates that has been designed to combine inhibition of both poly (ADP)-ribose polymerase (PARP) and histone deacetylase in a single molecule. This novel approach has the potential to overcome treatment resistance and provide clinical benefit to cancer patients.
Rakovina Therapeutics, Inc. focuses on the development of new cancer treatments based on novel DNA-damage response technologies. The company is focused on the development of cancer treatments based on deoxyribonucleic acid (DNA)-damage response powered by Artificial Intelligence (AI) using the proprietary Deep-Docking and Enki platforms. Its drug development pipeline includes kt-2000AI and kt-3000 series. The company is engaged in employing the proprietary Deep Docking AI Platform to rapidly screen billions of potential drug candidates against PARP (kt-2000AI) and other novel DDR targets to generate drug candidates that can be advanced to human trials or developed in collaboration with pharmaceutical partners. Its kt-3000 series represents a novel class of bi-functional small-molecule drug candidates that has been designed to combine inhibition of both poly (ADP)-ribose polymerase (PARP) and histone deacetylase in a single molecule. This novel approach has the potential to overcome treatment resistance and provide clinical benefit to cancer patients.
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