KYAN Therapeutics Exclusively Licenses Small Molecule HDAC Inhibitors for AI-Powered Cancer Drug Development

KYAN Therapeutics, Inc. | September 24, 2020

KYAN Therapeutics, Inc. ("KYAN"), a frontier biotech company with a novel drug-dose combination optimizing platform, Optim.AI, has entered into an exclusive license agreement with Georgetown University for novel selective Class II HDAC inhibitors. KYAN has already commenced preclinical development of the lead candidate, which has been designated as KYAN-001, with early positive results. In vitro and in vivo studies of KYAN-001 have shown high efficacy for Multiple Myeloma and Prostate Cancer. The low toxicity and metabolic stability of KYAN-001 indicates a better safety and tolerability profile than FDA approved pan-HDAC inhibitors which suffer from toxicity issues and side effects. KYAN-001 also uniquely inhibits HDAC4 nucleoshuttling to further drive its anti-cancer effects.

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The current Ebola outbreak in the Democratic Republic of Congo is the largest ever recorded in that country, and it's proving especially difficult to curtail. Here, Doctors Without Borders/Médecins Sans Frontières (MSF) tropical medicine advisor Tomas Jensen describes the challenges MSF teams face as they fight the spread of the disease, including the active conflict in the region.

Spotlight

The current Ebola outbreak in the Democratic Republic of Congo is the largest ever recorded in that country, and it's proving especially difficult to curtail. Here, Doctors Without Borders/Médecins Sans Frontières (MSF) tropical medicine advisor Tomas Jensen describes the challenges MSF teams face as they fight the spread of the disease, including the active conflict in the region.

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BUSINESS INSIGHTS

Resilience Establishes Multi-Product Development and Manufacturing Collaboration with Takeda’s Plasma-Derived Therapies Business Unit

Resilience | February 16, 2022

National Resilience, Inc. a technology-focused manufacturing company dedicated to broadening access to complex medicines, announced a manufacturing services agreement with Takeda’s Plasma-Derived Therapies Business Unit. As part of the agreement, Resilience will focus on supporting the development and manufacture of multiple products in Takeda’s plasma-derived medicines portfolio out of its facility in Mississauga, Ontario. “I’m proud to establish this relationship with Takeda, a company that has been pioneering plasma-derived therapies for more than 75 years. By bringing new technologies and innovation to biomanufacturing, we aim to help companies like Takeda reach more patients in need.” Rahul Singhvi, Sc.D., Chief Executive Officer of Resilience Resilience’s 136,000 sq ft (12,800 m2) biomanufacturing facility in Mississauga provides process and analytical development, scale up, drug substance and drug product / fill finish manufacturing for a variety of medicines. “We are delighted to form this strategic collaboration with Resilience, leveraging their expertise in both plasma therapy development and manufacturing to complement our current infrastructure and capabilities,” said Andreas Liebminger, Head of Pharmaceutical Sciences and Devices for the Plasma-Derived Therapies Business Unit at Takeda. “Our partnership will allow us to optimally use our combined assets to continue to bolster our portfolio, drive innovation and help more patients around the world realize the benefits of plasma medicines.” About Resilience Resilience is a technology-focused manufacturing company dedicated to broadening access to complex medicines. Founded in 2020, the company is building a sustainable network of high-tech, end-to-end manufacturing solutions to ensure the medicines of today and tomorrow can be made quickly, safely, and at scale. By continuously advancing the science of biopharmaceutical manufacturing and development, Resilience seeks to free its partners to focus on the discoveries that improve patients’ lives.

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BUSINESS INSIGHTS

Applied BioMath, LLC Announces Collaboration with BYOMass™ for Systems Pharmacology Modeling in Oncology

Applied BioMath | October 18, 2021

Applied BioMath, the industry-leader in applying systems pharmacology and mechanistic modeling, simulation, and analysis to de-risk drug research and development, today announced a collaboration with BYOMass, Inc. for systems pharmacology modeling in chronic diseases. BYOMass is a preclinical stage pharmaceutical company focused on the TGF-ß superfamily. "We chose Applied BioMath given their proven track record of helping companies identify ideal therapeutic properties and platforms, We hope that this collaboration will help us identify the properties of a lead candidate as efficiently as possible and aid in the design of future studies." - Margaret Jackson, D.Phil., Founder and CEO of BYOMass Applied BioMath employs a rigorous fit-for-purpose model development process which quantitatively integrates knowledge about therapeutics with an understanding of its mechanism of action in the context of human disease mechanisms. Their approach employs proprietary algorithms and software that were designed specifically for systems pharmacology model development, simulation, and analysis. "We often work with early-stage companies to help them understand what their therapeutic needs to look like in order to be best in class, We look forward to collaborating with BYOMass and helping them decide next steps for this project." - John Burke, PhD, Co-Founder, President, and CEO of Applied BioMath. About Applied BioMath Founded in 2013, Applied BioMath's mission is to revolutionize drug invention. Applied BioMath uses mathematical modeling and simulation to provide quantitative and predictive guidance to biotechnology and pharmaceutical companies to help accelerate and de-risk drug research and development. Their approach employs proprietary algorithms and software to support groups worldwide in decision-making from early research through clinical trials. The Applied BioMath team leverages their decades of expertise in biology, mathematical modeling and analysis, high-performance computing, and industry experience to help groups better understand their candidate, its best-in-class parameters, competitive advantages, patients, and the best path forward into and in the clinic.

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RESEARCH

Nanoform Releases Next-Generation AI-based Drug selection Tool

Nanoform | March 23, 2021

Nanoform innovative nanoparticle medicine enabling company next generation of its STARMAP® AI artificial intelligence platform nanoparticle bioavailability excipient microns nm CESS technology silico pharma drugs lifecycle managementNanoform, an innovative nanoparticle medicine enabling company, has today dispatched the next generation of its STARMAP® AI (artificial intelligence) platform, v2.0. The technology uses scanty information AI to expand trial results from its CESS® nanoparticle designing process with detailed master information, permitting dependable expectations to be made in regards to accomplices' likely success of nanoforming their medication atoms. CESS® is a nanoparticle platform technology which produces unadulterated homogeneous medication particles from arrangement in a without excipient process. By diminishing the molecule size e.g., from 10 microns to 50 nm, the particular surface territory can be expanded by as much as 1000-crease, subsequently improving disintegration rate, solvency, and bioavailability. Subsequently, Nanoform can help pharma accomplices progress atoms into advancement that in any case might not have been conceivable. It additionally opens up energizing opportunities for a wide scope of novel medication conveyance applications. STARMAP® is a computerized form of the CESS® technology that empowers in silico tries in enormous amounts, making quick forecasts of which atoms ought to be nanoformed. This is significant since there are more potential medication atoms than particles in the known universe. STARMAP® can be a useful asset for pharma accomplices to pick appropriate medication contender for additional improvement from their huge libraries. The benefits may incorporate quicker way to advertise and additional opportunities for widening and extending drug pipelines while at the same time expanding the likelihood of medication improvement success. The STARMAP® platform can have wide materialness in drug disclosure and advancement just as in lifecycle management for existing promoted drugs and 505b2-like item improvement methodologies. "AI algorithms developed for big data have so far struggled to live up to expectations in pharma because the data, especially for early assets (drug discovery, drug screening), that is available to pharma is typically insufficient for generating reliable predictions. We believe sparse-data AI will work much better - in practice, this means augmenting experimental results with detailed expert knowledge, which can be used to prevent the AI from predicting outcomes that are nonsensical based on prior understanding. There is a lot of untapped potential in sparse-data AI for the pharma industry and the field continues to undergo rapid development in both academia and the industry in general," said Prof. Jukka Corander, Head of AI at Nanoform. "By determining which drug candidates are ideal for our CESS® process, the next-gen STARMAP® platform can potentially create new opportunities for our pharma partners. These can include both revisiting drug candidates unnecessarily discarded by AIs trained on old particle engineering techniques, and rapidly picking winners among new drug candidates. Ultimately, the benefit of more advanced AI will be felt by patients as new therapies are accelerated to market," commented Christian Jones, Chief Commercial Officer at Nanoform

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