Important developments in computational biology have enabled researchers to conduct large-scale analyses of cancer genomes, colloquially known as “pan-cancer data.” These studies have unveiled distinct “mutational signatures” associated with specific defects in DNA repair pathways across various cancer types. This broader understanding reveals that a far greater number of cancers than previously anticipated exhibit DNA repair deficiencies.
To that point, studies show that up to 75% of solid tumors harbor DDR defects, making them prime candidates for therapies that target these defective repair pathways. Considering that solid tumors account for about 90 percent of adult cancers, the magnitude of the opportunity becomes clear.
DDR-Based Therapies: Exploiting a Flaw
Cancer’s complexity lies in its ability to exploit flaws in DNA repair mechanisms, which allow mutations to accumulate and drive tumor progression. Because many cancers harbor defects in these pathways, they are particularly vulnerable to targeted treatments. Recent advancements have shed light on this vulnerability, opening a new frontier in treatment: DNA-damage response (DDR) therapies.
DDR-based therapies specifically target defective repair pathways in cancer cells, preventing them from fixing DNA damage and ultimately leading to cell death. This approach has shown promising results, particularly in cancers with BRCA mutations, but challenges remain, with new innovations aiming to square the circle via cutting-edge tech.
Rakovina Therapeutics: A Leader in AI-Powered DDR
Rakovina Therapeutics Inc. (TSX.V: RKV) is at the forefront of this innovation. The company leverages Deep Docking AI, a platform developed at the University of British Columbia (UBC) that accelerates drug discovery by screening candidates in a fraction of the traditional time. The company’s approach hastens the drug discovery process by up to 100-fold and boasts a 6,000-fold enrichment in candidate molecules.
Rakovina’s ability to screen vast databases of compounds, including over 7 billion drug candidates, significantly reduces the timeline for developing new therapies. Speedy drug development is further complemented by Rakovina’s in-house laboratory infrastructure seamlessly integrating AI with wet-lab validation.
With exclusive access to the Deep Docking AI platform for DDR targets per its agreement with Prof. Artem Cherkasov and a market cap under CDN$7 million, Rakovina is uniquely positioned in the DDR-based therapy space, which is projected to have an $18 billion addressable market by 2030.
Further to Rakovina Therapeutics strive for continued innovation, the company just announced a drug discovery collaboration with Variational AI. The companies will jointly research DNA-damage response kinase targets to identify potential drug candidates for the treatment of cancer.
Under the terms of this agreement, Rakovina Therapeutics has been granted an exclusive right to compounds generated by the Enki™ platform against the selected target product profiles and an option to license validated drug candidates for further development. Variational AI will employ the Enki TM platform to identify novel inhibitors of specific DDR kinase targets selected by Rakovina Therapeutics. Rakovina Therapeutics will synthesize and evaluate the viability of these drug candidates as potential cancer therapies in its laboratories at the University of British Columbia.
Commenting on the recently announced collaboration, Variational AI CEO Handol Kim stated, “We are thrilled to be partnering with Rakovina Therapeutics in their quest for lifesaving, cancer drugs. Variational AI is at the forefront of Artificial Intelligence drug discovery and we look towards a successful and lasting partnership. Our unique Enki™ Platform is the first commercially accessible foundation model for small molecules and represents an ideal drug discovery solution for Rakovina Therapeutics for these initial targets and beyond.”
Rakovina Therapeutics Executive Chairman Jeffrey Bacha also commented, “Variational AI will deliver a short list of potential drug candidates within four to six weeks of target selection. We anticipate determining the validity of these novel drug candidates against our target-product profile within 12 to 18 months upon receipt of each Variational AI deliverable.”
All in all, this collaboration is another feather in the cap for Rakovina as it forges ahead to become a leader in the development of new cancer treatments based on novel DNA-damage response technologies.
The PARP Factor
Rakovina’s focus is currently on developing next-generation PARP inhibitors, aiming to improve upon existing treatments with fewer side effects and broader applications.
PARP inhibitors, like AstraZeneca’s (NASDAQ: AZN) Lynparza (olaparib) and Pfizer’s (NYSE: PFE) Talzenna (talazoparib), are increasingly popular in cancer treatments today. By blocking the PARP enzyme, these drugs prevent cancer cells from repairing DNA damage, leading to their death. This approach has been effective in treating certain ovarian, breast, and prostate cancers, offering a more personalized and less toxic alternative to traditional chemotherapy.
However, not all tumors respond equally, brain cancers are still unreachable, and resistance can develop as cancer cells find alternative repair mechanisms. Additionally, side effects like anemia and fatigue can still occur, and their efficacy is often limited to patients with specific genetic profiles.
In recent years, the PARP inhibitor space has seen billions of dollars in deal activity, signaling strong collaboration opportunities. Companies like BeiGene Ltd. (NASDAQ: BGNE), which is advancing combination therapies, and Rakovina, with its cutting-edge tools for informed decision-making, are well-positioned to capitalize on this momentum.
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Rakovina Therapeutics Inc. (TSX.V: RKV) Full Corporate Write-Up: Click Here.
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