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Hookipa Pharma Inc. (NASDAQ: HOOK) is a clinical stage biopharmaceutical company developing a new class of immunotherapeutics, targeting infectious diseases and cancers based on its proprietary arenavirus platform that is designed to reprogram the body`s immune system. HOOKIPA`s proprietary arenavirus-based technologies, VaxWave®*, a replication-deficient viral vector, and TheraT®*, a replication-attenuated viral vector, are designed to induce robust antigen specific CD8+ T cells and pathogen-neutralizing antibodies. Both technologies are designed to allow for repeat administration while maintaining an immune response. TheraT® has the potential to induce CD8+ T cell response levels previously not achieved by other published immuno-therapy approaches. HOOKIPA`s “off-the-shelf” viral vectors target dendritic cells in vivo to activate the immune system. HOOKIPA`s VaxWave®-based prophylactic cytomegalovirus vaccine candidate is currently in a Phase 2 clinical trial in patients awaiting kidney transplantation from living cytomegalovirus-positive donors. To expand its infectious disease portfolio, HOOKIPA has entered into a collaboration and licensing agreement with Gilead Sciences, Inc. to jointly research and develop functional cures for HIV and Hepatitis B infections. HOOKIPA is building a proprietary immuno-oncology pipeline by targeting virally mediated cancer antigens, self-antigens and next-generation antigens.
Drugstore Pharmacy is a Calgary, AB-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
EpiVax Oncology is developing precision cancer immunotherapies based on mutanome-directed neo-epitopes, selected using proprietary and validated in silico predictive algorithms. Neo-epitopes are mutated and tumor specific epitopes, recognized as non-self, capable of generating highly potent specific T cell immunogenic responses against tumors, translating in improved clinical outcome. EpiVax Oncology is developing neo-epitope based therapeutic vaccines customized and specifically designed for each cancer patient, based on the genetic profiling (using next generation DNA sequencing) of each patient`s unique tumor and normal genome sequence (the mutanome). EpiVax Oncology`s ultimate purpose is to address major unmet medical needs inadequately addressed by other oncology and immuno-oncology treatments which are either only benefiting a very limited subset of patients, or prone to adverse events, or extremely costly and complex to manufacture. EpiVax Oncology`s ambition is to become a premier cancer precision medicine company, leveraging EpiVax`s world class excellence in computational-immunology, genomics and vaccine design, built over the last 20 years.
GFI LAB is a Rockwood, PA-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
insitro is a data-driven drug discovery and development company that leverages machine learning and high-throughput biology to transform the way medicines are created to help patients. At insitro, we are rethinking the entire drug discovery process, from the perspective of machine learning, human genetics, and high-throughput, quantitative biology. Over the past five decades, we have seen the development of new medicines becoming increasingly more difficult and expensive, leaving many patients with significant unmet need. We`re embarking on a new approach to drug development – one that leverages machine learning and unique in vitro strategies for modeling disease state and designing new therapeutic interventions. We aim to eliminate key bottlenecks in traditional drug discovery, so we can help more people sooner and at a much lower cost to the patient and the healthcare industry. We believe that by harnessing the power of technology to interrogate and measure human biology, we can have a major impact on many diseases. We invest heavily in cutting edge bioengineering technologies to enable the construction of large-scale, high-quality data sets that are designed specifically to drive machine learning methods. Our first application is to use human genetics, functional genomics, and machine learning to build a new generation of in vitro human cell-derived disease models whose response to perturbation is designed to be predictive of human clinical outcomes.