Insilico Medicine and Usynova Announce Strategic Partnership on Accelerating R&D of Small Molecule Innovative Drugs with AI

     SHANGHAI, Aug. 5, 2021 /PRNewswire/ -- Insilico Medicine, an industry leader in end-to-end artificial intelligence for target discovery, small molecule chemistry, and clinical development, and Usynova announced to reach strategic cooperation in advancing the development of novel therapies.

The agreement outlines a constructive framework where the two parties will combine the advantages of Insilico Medicine's AI-powered drug discovery platform with Usynova's experience in the small molecule innovative drug development to accelerate the development of small molecule innovative drugs, with a view to jointly addressing significant unmet medical needs and tackling novel and challenging targets in cancer and autoimmune diseases.

Insilico Medicine is a global leader in AI-powered drug discovery companies. Since 2014, Insilico Medicine developed the AI-powered drug discovery platform consisting of PandaOmics™ AI-powered novel target discovery engine, Chemistry42™ deep generative reinforcement learning system allowing for the de-novo design of novel molecules with the desired properties that do not exist in the known chemical space, and InClinico™, which predicts clinical trial outcome.

Usynova is an innovative enterprise on drug R&D, the founding team members of which come from multinational pharmaceutical enterprises and domestic CRO leading companies and possess rich experience in drug R&D. Focusing on the two major areas of autoimmune diseases and cancer, the enterprise has built platforms for small molecule chemical drugs and biomacromolecule drugs, developed several pipeline products at different R&D stages, and carried out two clinical trials. The cooperation between the two parties will accelerate the introduction of first-in-class and best-in-class small molecule innovative drugs to patients worldwide.

"China is on the path to becoming the source of truly innovative medicines for the world. We are very pleased to contribute to this important trend by partnering with the innovative biotechnology company, Usynova, to discover novel biomedicines utilizing the latest advances in next-generation artificial intelligence", said Dr. Alex Zhavoronkov, CEO of Insilico Medicine.

"We are honored to be a partner with Usynova, who takes the commitment to develop First-in-Class and Best-in-Class drugs. Insilico Medicine will make full use of the advantages of the AI-powered drug discovery platform, accelerate the R&D of small molecule innovative drugs of Usynova from the aspects of target screening, molecular design, compound synthesis, and work together with Usynova to provide subversive and efficient solutions for unmet clinical needs", said Dr. Ren Feng, the Chief Scientist of Insilico Medicine.

"Insilico Medicine has unique technical capabilities in target discovery and generative chemistry. We hope that the cooperation between the two parties can effectively improve the efficiency and accuracy of small molecule drug R&D. The combination of innovative drug companies and artificial intelligence (AI) technology platforms will definitely change the traditional model of innovative drug R&D in the future. Especially the fact that AI technology provides a new solution for discovering preclinical candidates compounds for novel and difficult targets. We are committed to explore an efficient drug R&D path jointly", said Dr. Hu Tao, the Chief Executive Officer of Usynova.

"Usynova's innovation focuses on the R&D in the fields of cancer and autoimmune diseases and aiming at meeting unmet medical needs. We are pleased to apply Insilico Medicine's cutting-edge AI technology platform to conduct in-depth explorations on novel target identification and drug development for novel and difficult targets. We are aiming to develop first-in-class drugs for the benefit of the cancer and autoimmune patients worldwide", said Dr. Peng Shengbin, the Chief Scientist of Usynova.

About Insilico Medicine

Insilico Medicine, an end-to-end artificial intelligence driven drug discovery company，develops artificial intelligence systems Pharma.AI（www.insilico.com/platform/）that utilize deep generative models, reinforcement learning, transformers, and other modern machine learning techniques for identify the novel target and generate new molecular structures with specific properties, and provides breakthrough solution for the discovery and development of innovative drugs for cancer, fibrosis, infectious diseases, autoimmune diseases, and aging-related diseases. Since its inception in 2014, Insilico Medicine has reached strategic collaboration with more than 30 drug development companies in the United States, Europe, China, Japan and other countries and regions, and launched new multiple internal R&D pipelines for novel, difficult and previously undruggable targets.

About Usynova

Usynova Pharmaceuticals Ltd. (Shanghai) is an innovative drug R&D enterprise established in January 2020. The enterprise focuses on the treatment of autoimmune diseases and cancer. With the establishment of small molecule drug platforms and biomacromolecule drug platforms, it currently has nearly 10 pipeline products at different R&D stages. Among these product, the indications of UA007 are chemotherapy-induced diarrhea (CID) and chemotherapy-induced neutropenia (CIN). the Phase IIa clinical trial of such product have been completed with excellent POC results, and multiple phase IIb clinical trials are ongoing currently. The product has a number of global patents, and has been funded by the special national project on major new drug R&D. CID is one of the main side effects of cancer chemotherapy, and it is also an important reason for patients to withdraw from chemotherapy. However, there are no effective therapeutic drugs for CID currently. Small molecule pipeline products for targets with poor druggability will also be advanced to the clinical stage in the next few years. The enterprise has established a complete team covering early drug discovery, protein drug production, antibody preparation, pre-clinical and clinical studies, and drug registration application.

Contact: pr@insilico.com

SOURCE Insilico Medicine Hong Kong Limited

GenFleet Therapeutics and Insilico Medicine Announce Strategic Partnership

SHANGHAI, July 20, 2021 /PRNewswire/ -- GenFleet Therapeutics, a clinical-stage biotechnology company focusing on cutting-edge therapies in oncology and immunology, and Insilico Medicine, an industry leader in end-to-end artificial intelligence for target discovery, small molecule chemistry, and clinical development, announced to reach strategic partnership in advancing development of novel therapies today.

The agreement outlines a constructive framework where GenFleet will synergize its own R&D systems with Insilico's end-to-end AI-powered drug discovery platform, with a view to jointly addressing significant unmet medical needs and tackling novel & difficult targets in cancer therapeutics. 

In collaboration with Insilico's AI-powered identification methods, GenFleet will enhance the exploration of the dynamic structure-activity relationship between target proteins and drug molecules through virtual structure research to develop highly selective inhibitors and deliver targeted therapies overcoming drug resistance.

Featuring a competitive pipeline with novel mechanisms, GenFleet has established its comprehensive R&D functions spanning from early discovery to global multi-regional clinical trials. In pursuing targets & indications without proof of concept global-wise, GenFleet has applied latest computational sciences to drug development including DNA-encoded Library screening, computer-aided drug design, digital clinical trial solutions, etc.

Insilico Medicine is a global leader AI-powered drug discovery company. Since 2014, Insilico Medicine developed the AI-powered drug discovery platform consisting of PandaOmics™ AI-powered novel target discovery engine, Chemistry42™ deep generative reinforcement learning system allowing for de-novo design of novel molecules with the desired properties that do not exist in the known chemical space, and InClinico™, which predicts clinical trial outcome. As a pioneer and leader in the industry, Insilico Medicine has built a strong drug discovery and development team, a broad distributed discovery partner network, and initiated multiple internal therapeutic programs.

"GenFleet's portfolio strategy is heavily based on solid technical capabilities, and since its inception, GenFleet has been leveraging such top-notch capabilities world-wide. Through the integration of conventional biotech approaches with emerging technologies such as AI and computational biology, we expect that our R&D capability and efficacy will get a tremendous boost through optimization of target screening, molecular design, real world clinical research, among others. We are very excited to form a collaboration with such leading companies as Insilico, and we look forward to some 'game-changers' out of it," said Qiang Lu, Ph.D., Co-founder and Chairman of Board of GenFleet Therapeutics.

"Through cooperation, GenFleet will reinforce its R&D systems with the AI-powered platform and we are projected to substantially improve the success rate of designing original preclinical candidate compounds in shortened cycle time. GenFleet will continuously employ new tools and techniques to enrich its cutting-edge pipeline and develop life-saving medicines for patients around the globe," said Jiong Lan, Ph.D., Co-founder and Chief Executive Officer of GenFleet Therapeutics.

"At Insilico we only partner with the companies that have the commitment to innovate using the latest advances in next-generation AI. We are very excited to collaborate with GenFleet, one of the most innovative biotechnology companies in China now working on unleashing the power of world-class artificial intelligence systems to discover and develop cutting-edge therapeutics for the benefits of the patients worldwide," said Alex Zhavoronkov, PhD, founder and CEO, Insilico Medicine.

"Embracing cooperation and innovation, Insilico is honored to form partnership with GenFleet who shares with us the commitment to innovative drug development. By analyzing and screening huge volumes of data, Insilico's AI-powered platform boasts unique generation model management and reinforcement learning techniques. We believe our collaboration will provide GenFleet with powerful assistance in its development of transformative therapies," said Feng Ren, Ph.D., Chief Scientific Officer of Insilico Medicine.

About GenFleet Therapeutics
Dedicated to serving significant unmet medical needs, GenFleet Therapeutics constructs its R&D platform on the basis of disease biology and translational medicine, and researches into latest biological mechanism of cancer pathways, tumor microenvironment and human immunoregulation. GenFleet's rich and diversified pipeline highlights multiple cutting-edge products with novel mechanisms and global intellectual property rights.

Through years of endeavor, GenFleet has set up industry-leading capabilities and expertise in developing novel drugs - both small molecules and biologics. Its cutting-edge pipeline includes over 10 products, three of which have progressed into clinical stages. As more projects move into late-stage clinical trials, GenFleet is expected to unravel its blueprint of commercialization during the next 3-5 years.

About Insilico Medicine
Insilico Medicine, an end-to-end artificial intelligence-driven drug discovery company，developing artificial intelligence platforms (www.insilico.com/platform/) that utilize deep generative models, reinforcement learning, transformer, and other modern machine learning techniques for novel target discovery and generation of novel molecular structures with desired properties. It is developing breakthrough solutions for the discovery and development of innovative drugs for cancer, fibrosis, infectious diseases, autoimmune diseases, and aging-related diseases. Since 2014, Insilico Medicine established strategic collaborations with over 30 pharmaceutical and biotechnology companies and academic research groups in the United States, Europe, China, Japan and other countries and regions, and launched multiple internal R&D pipelines for novel, difficult and previously undruggable targets. It also established a collaboration with Syngenta to develop and apply AI to sustainable agriculture. Since its inception, the company raised over $300 million from the reputable financial, biotechnology, and information technology investors.

CONTACT: pr@insilico.ai

Related Links

http://www.insilicomedicine.com

SOURCE Insilico Medicine

Deep Longevity releases psychological aging clocks and announces Scientific Advisory Board

Deep Longevity, a fully-owned subsidiary of Endurance RP Limited (SEHK stock code: 0575), released the new MindAge psychological aging clock and announced the formation of a Scientific Advisory Board (SAB) comprised of experts in longevity biotechnology

Deep Longevity, the company developing a broad range of biomarkers of aging to maintain physical health and wellness, restore youthfulness, and improve mental health and well-being, today announced the launch of its MindAge psychological aging clocks and the formation of a Science Advisory Board (SAB).

The MindAge tests are now available via the Deep Longevity website and via the Young.AI iPhone app available in the Apple Appstore. It builds on the recently published paper titled "PsychoAge and SubjAge: Development of Deep Biomarkers of Psychological and Subjective Age Using Artificial Intelligence".

The new survey-based MindAge test is available at https://www.young.ai/mind-age.

The science advisory board includes some of the most outstanding and credible researchers and medical doctors in the field working in the nascent field of longevity biotechnology and longevity medicine.

The advisory board is comprised of:

Eric Verdin, MD, CEO of the Buck Institute for Research on Aging
Daniel Kraft, MD, Stanford & Harvard trained physician-scientist. Founder of Exponential Medicine. Chair, XPrize Pandemic Alliance Task force
Morten Scheibye-Knudsen, MD, PhD, head of the biology of aging laboratory and professor at the University of Copenhagen
Vadim Gladyshev, PhD, professor, Head of the Gladyshev Laboratory at Harvard University
Wei-Wu He, PhD, Chairman of Human Longevity, Inc

The SAB will be chaired by the Chief Longevity Officer (CLO) of Deep Longevity, Alex Zhavoronkov, PhD, also the founder and CEO of Insilico Medicine and adjunct professor at the Buck Institute for Research on Aging.

The science advisory board will help direct and review the company's work in the development and applications of deep biomarkers of human aging.

The chairman of the board of directors of Endurance RP, and the founder of the London Longevity Week and The Longevity Forum, Jim Mellon, commented:

"The scientific advisors of Deep Longevity are some of the highest-impact scientists, medical doctors, and most well-known experts in longevity. Under their leadership and supervision, the company will continue developing and commercializing the biological and psychological aging clocks and engaging in research with the academic and medical institutions as well as with the insurance companies worldwide".

"Productive longevity is the most important asset we have in this life and Deep Longevity is dedicated to the measurement of aging at every level from biological to psychological. I am very happy to see the company expanding into the psychology of aging as it impacts our physical and mental health and well-being and is one of the areas we can control and intervene in", said Alex Zhavoronkov, founder and Chief Longevity Officer, of Deep Longevity and founder and CEO of Insilico Medicine.

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Paper Reference:

https://www.aging-us.com/article/202344/text

Website:

https://www.young.ai/mind-age

About Deep Longevity

Deep Longevity has been acquired by Endurance Longevity (SEHK:0575.HK), a publicly-traded company. Deep Longevity is developing explainable artificial intelligence systems to track the rate of aging at the molecular, cellular, tissue, organ, system, physiological, and psychological levels. It is also developing systems for the emerging field of longevity medicine enabling physicians to make better decisions on the interventions that may slow down, or reverse the aging processes. Deep Longevity developed Longevity as a Service (LaaS)© solution to integrate multiple deep biomarkers of aging dubbed "deep aging clocks" to provide a universal multifactorial measure of human biological age. Originally incubated by Insilico Medicine, Deep Longevity started its independent journey in 2020 after securing a round of funding from the most credible venture capitalists specializing in biotechnology, longevity, and artificial intelligence. ETP Ventures, Human Longevity and Performance Impact Venture Fund, BOLD Capital Partners, Longevity Vision Fund, LongeVC, co-founder of Oculus, Michael Antonov, and other expert AI and biotechnology investors supported the company. Deep Longevity established a research partnership with one of the most prominent longevity organizations, Human Longevity, Inc. to provide a range of aging clocks to the network of advanced physicians and researchers. https://longevity.ai/

About Endurance RP (SEHK:0575.HK)

Endurance RP is a diversified investment group based in Hong Kong currently holding various corporate and strategic investments focusing on the healthcare, wellness and life sciences sectors. The Group has a strong track record of investments and has returned approximately US$298 million to shareholders in the 21 years of financial reporting since its initial public offering.

The group recently announced the change of name to Endurance RP Limited and re-branding into Endurance Longevity to focus on fertility and longevity markets in China.

James Peyer to present at the 8th Aging Research & Drug Discovery Meeting 2021

 

 James Peyer to present new research in the biology of aging at the world's largest aging research for drug discovery conference

Thursday, July 15, 2021 -- James Peyer, Ph.D., will present the latest research on the topic "A Diversified Approach to Unlocking Geroprotector Development" at the worlds' largest annual Aging Research and Drug Discovery conference (8th ARDD). James Peyer, Ph.D., is the Chief Executive Officer and Co-Founder of Cambrian Biopharma.

"Cambrian is a Distributed Development Company (or a DisCo) advancing more than a dozen different therapeutic programs, each targeting a different driver of age-related damage. By taking this diversified approach and building a centralized team that can operate many different programs with different modalities, Cambrian can unlock the two key roadblocks that prevent us from making geroprotectors today: finding approved drugs that can reduce multi-disease risk and creating a clinical pathway to approve those drugs for prevention quickly," said James Peyer, Ph.D., Chief Executive Officer and Co-Founder of Cambrian Biopharma.

James Peyer also serves as the Chairman of the Board of Sensei Biotherapeutics and holds additional board and executive roles across Cambrian's pipeline. He has spent his entire life dedicated to the mission of finding ways to prevent people from getting diseases like cancer and Alzheimer's instead of waiting for them to get sick. James was previously Founder and Managing Partner at Apollo Ventures, the first global longevity-focused venture capital firm, investing across the US and Europe. Prior to Apollo, James was a biotech R&D specialist at the New York office of McKinsey & Company, serving major pharmaceutical clients. He earned his PhD in stem cell biology at University of Texas Southwestern Medical Center as a National Science Foundation Fellow, and his B.A. with special honors from the University of Chicago.

"Aging research is gaining traction in the biopharmaceutical industry. To my knowledge, 6 out of the top 30 pharmaceutical companies in the world prioritized aging research for early-stage discovery or therapeutic pipeline development and several companies employ artificial intelligence for this purpose. We organize the annual ARDD conference for eight years in a row and the level of interest in aging biomarkers and noticed exponential growth in registrations over the past two years", said Alex Zhavoronkov, Ph.D., co-founder and CEO of Insilico Medicine, and the founder of Deep Longevity.

Building on the success of the ARDD conferences, the organizers developed the "Longevity Medicine" course series with some of the courses offered free of charge at Longevity.Degree covered in the recent Lanced Healthy Longevity paper titled Longevity medicine: upskilling the physicians of tomorrow.

The conference proceedings of the ARDD are commonly published in peer-reviewed journals with the talks openly available at http://www.agingpharma.org. Please review the conference proceedings for 2019 and 2020.

"Aging is emerging as a druggable condition with multiple pharmaceuticals able to alter the pace of aging in model organisms. The ARDD brings together all levels of the field to discuss the most pressing obstacles in our attempt to find efficacious interventions and molecules to target aging. The 2021 conference is the best yet with top level speakers from around the globe. I'm extremely excited to be able to meet them in person at the University of Copenhagen in late summer.", said Morten Scheibye-Knudsen, MD, Ph.D., University of Copenhagen.

"Aging research is growing faster than ever on both academia and industry fronts. The ARDD meeting unites experts from different fields and backgrounds, sharing with us their latest groundbreaking research and developments. Our last ARDD meeting took place online and was a great success. This year's event will be a hybrid meeting with virtual and in-person attendees. I am particularly excited that being part of the ARDD 2021 meeting will provide an amazing opportunity for young scientists presenting their own work as well as meeting the experts in the field." said Daniela Bakula, Ph.D., University of Copenhagen

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About Aging Research for Drug Discovery Conference

At ARDD, leaders in the aging, longevity, and drug discovery field will describe the latest progress in the molecular, cellular and organismal basis of aging and the search for interventions. Furthermore, the meeting will include opinion leaders in AI to discuss the latest advances of this technology in the biopharmaceutical sector and how this can be applied to interventions. Notably, this year we are expanding with a workshop specifically for physicians where the leading-edge knowledge of clinical interventions for healthy longevity will be described. ARRD intends to bridge clinical, academic and commercial research and foster collaborations that will result in practical solutions to one of humanity's most challenging problems: aging. Our quest? To extend the healthy lifespan of everyone on the planet.

About Scheibye-Knudsen Lab

In the Scheibye-Knudsen lab we use in silico, in vitro and in vivo models to understand the cellular and organismal consequences of DNA damage with the aim of developing interventions. We have discovered that DNA damage leads to changes in certain metabolites and that replenishment of these molecules may alter the rate of aging in model organisms. These findings suggest that normal aging and age-associated diseases may be malleable to similar interventions. The hope is to develop interventions that will allow everyone to live healthier, happier and more productive lives.

About Deep Longevity

Deep Longevity has been acquired by Regent Pacific (SEHK:0575.HK), whose shares are listed on the Hong Kong Stock Exchange. Deep Longevity is developing explainable artificial intelligence systems to track the rate of aging at the molecular, cellular, tissue, organ, system, physiological, and psychological levels. It is also developing systems for the emerging field of longevity medicine enabling physicians to make better decisions on the interventions that may slow down, or reverse the aging processes. Deep Longevity developed Longevity as a Service (LaaS)© solution to integrate multiple deep biomarkers of aging dubbed "deep aging clocks" to provide a universal multifactorial measure of human biological age. Originally incubated by Insilico Medicine, Deep Longevity started its independent journey in 2020 after securing a round of funding from the most credible venture capitalists specializing in biotechnology, longevity, and artificial intelligence. ETP Ventures, Human Longevity and Performance Impact Venture Fund, BOLD Capital Partners, Longevity Vision Fund, LongeVC, co-founder of Oculus, Michael Antonov, and other expert AI and biotechnology investors supported the company. Deep Longevity established a research partnership with one of the most prominent longevity organizations, Human Longevity, Inc. to provide a range of aging clocks to the network of advanced physicians and researchers. https://deeplongevity.com/

About Endurance RP (SEHK:0575.HK)

Endurance RP is a diversified investment group based in Hong Kong currently holding various corporate and strategic investments focusing on the healthcare, wellness and life sciences sectors. The Group has a strong track record of investments and has returned approximately US$298 million to shareholders in the 21 years of financial reporting since its initial public offering. https://www.endurancerp.com/

Insilico collaborates with Teva on AI system for target discovery

 

Insilico enters into a collaboration with Teva to apply novel generative artificial intelligence for the discovery of potential therapeutic targets

Tuesday, June 22, 2021 - Insilico Medicine is pleased to announce that it has entered into a collaboration with Teva Branded Pharmaceutical Products R&D, Inc. to utilize Insilico's generative machine learning technology and proprietary PandaOmics Drug Discovery Platform, which aims at identifying novel therapeutic targets implicated in a variety of diseases.

"Teva is a global leader in generics and specialty medicines, and we are happy to be contributing to its research and development efforts, especially in the field of novel target discovery," said Alex Zhavoronkov, PhD, CEO of Insilico Medicine.

PandaOmics is a comprehensive AI-powered platform for novel target discovery integrating over 60 different engines and approaches to target discovery. It provides biologically interpretable insights coupled with business intelligence with multiple experimentally validated case studies.

###

About Insilico Medicine:

Since 2014 Insilico Medicine is focusing on generative models, reinforcement learning (RL), and other modern machine learning techniques for the generation of new molecular structures with the specified parameters, generation of synthetic biological data, target identification, and prediction of clinical trial outcomes. Recently, Insilico Medicine secured $37 million in series B funding. Since its inception, Insilico Medicine raised over $52 million, published over 100 peer-reviewed papers, applied for over 25 patents, and received multiple industry awards. Website http://insilico.com/.

Insilico Medicine Raises $255 Million in Series C Financing Led by Warburg Pincus

 NEW YORK and HONG KONG, June 22, 2021 /PRNewswire/ -- Insilico Medicine, a global leader in end-to-end artificial intelligence for target discovery, small molecule chemistry, and clinical development, announced that it has closed a $255 million Series C financing led by Warburg Pincus. The financing was also participated by current investors including Qiming Venture Partners, Pavilion Capital, Eight Roads Ventures, Lilly Asia Ventures, Sinovation Ventures, BOLD Capital Partners, Formic Ventures, Baidu Ventures, and new investors including CPE, OrbiMed, Mirae Asset Capital, B Capital Group, Deerfield Management, Maison Capital, Lake Bleu Capital, President International Development Corporation, Sequoia Capital China and Sage Partners.

As a pioneer and leader in the industry, Insilico Medicine has built a strong drug discovery and drug development team, a broad distributed discovery partner network, and initiated multiple internal therapeutic programs.  The Company demonstrated the first case of AI identifying a novel target for a major pulmonary disease, generating novel molecules for that novel target, and completing the preclinical experiments required to nominate a preclinical candidate in under 18 months. Insilico Medicine also developed the AI-powered drug discovery platform consisting of PandaOmics™ AI-powered novel target discovery engine, Chemistry42™ deep generative reinforcement learning system allowing for de-novo design of novel molecules with the desired properties that do not exist in the known chemical space, and InClinico™, which predicts clinical trial outcomes.

Proceeds from the financing will be used to progress Insilico Medicine's current therapeutic programs into human clinical trials, initiate multiple new programs for novel and difficult targets, and further develop its AI and drug discovery capabilities.

Alex Zhavoronkov, PhD, founder and CEO of Insilico Medicine said, "The artificial intelligence technologies we invented are now demonstrating impressive results in both biology and chemistry delivering valuable and absolutely novel therapeutic assets with high probability of clinical success.  We are pleased and proud to have gained the recognition and investment from some of the world's most reputable investors with strong expertise in the biopharmaceutical industry. With their support, we will continue to innovate and bring revolutionary solutions to the pharmaceutical industry.

"Min Fang, Managing Director at Warburg Pincus, will join Insilico Medicine's Board of Directors.

Fred Hassan, former Chairman and CEO of Schering Plough Corporation, commented on behalf of Warburg Pincus, "Artificial Intelligence and Machine Learning is a powerful tool to revolutionize the drug discovery process and bring life-changing therapies to patients faster than ever before. We are pleased to partner with Insilico, which has demonstrated strong value proof of its AI technologies both through partnerships with leading pharmaceutical and biotech companies and the development of exciting internal pipeline.  Insilico fits strongly with our strategy of investing in the best-in-class innovators in the healthcare and we will continue to support the company's ambitious vision of transforming drug discovery through harnessing AI and Machine Learning."

Since the previous round of financing, Insilico Medicine is making its technologies available for licensing for the leading pharmaceutical and biotechnology companies looking to gain a head start in AI and accelerate their drug discovery programs. It has collaborated with first-in-class biopharmaceutical companies, including Pfizer, Astellas, Johnson & Johnson, Taisho, and many others, with multiple partners reaching major milestones. Insilico Medicine also exclusively partnered with the main innovative sustainable agriculture company, Syngenta, on the discovery of novel molecules for sustainable regenerative farming.  Since the launch of Chemistry42 in September 2020, 7 out of the top 30 pharmaceutical companies deployed its software, including Merck KGaA and UCB.  Insilico Medicine also built a drug discovery team and platform in China and started multiple therapeutic programs targeting novel, difficult, and previously undruggable targets.

About Insilico Medicine

Insilico Medicine develops artificial intelligence systems that utilize deep generative models, reinforcement learning (RL), transformers, and other modern machine learning techniques for the generation of new molecular structures with specific properties. Insilico Medicine also develops software for the generation of synthetic biological data, target identification, and the prediction of clinical trials outcomes. The company integrates two business models; providing AI-powered drug discovery services and software through its Pharma.AI platform (www.insilico.com/platform/) and developing its own pipeline of preclinical programs. It has demonstrated the ability to identify the novel target for a major disease, generate and validate novel molecules with the desired properties for that target and nominate a preclinical candidate in under 18 months. Since its inception in 2014, Insilico Medicine has raised over $310 million from expert pharmaceutical, and technology investors, and received multiple industry awards. Insilico Medicine has also published over 130 peer-reviewed papers and has applied for over 30 patents. For more information, please visit www.insilico.com.

About Warburg Pincus

Warburg Pincus LLC is a leading global private equity firm focused on growth investing. The firm has more than $60 billion in private equity assets under management. The firm's active portfolio of more than 200 companies is highly diversified by stage, sector, and geography. Warburg Pincus is an experienced partner to management teams seeking to build durable companies with sustainable value. Founded in 1966, Warburg Pincus has raised 19 private equity funds, which have invested more than $90 billion in over 930 companies in more than 40 countries.

Since entering China in 1994, Warburg Pincus has invested nearly $14 billion in nearly 140 companies in the region. Warburg Pincus is one of the most active investors in the China healthcare industry, having invested more than $1.85 billion in the sector. Select investment cases include Abbisko Therapeutics, Haihe Biopharma, Lepu Medical, Wuxi AppTec, China Biologics, Hygeia and Jinxin Fertility, etc. For more information please visit www.warburgpincus.com.

CONTACT: Polly Firs, polly.firs@insilicomedicine.com

SOURCE Insilico Medicine Hong Kong Limited

Related Links

https://insilico.com

The Indiana Biosciences Research Institute deploys Insilico PandaOmics AI for target discovery

 Insilico Medicine collaborates with the Indiana Biosciences Research Institute to apply novel artificial intelligence-powered approaches to multi-omics data analysis and discovery of potential therapeutic targets

June 9, 2021 - Insilico Medicine, a global leader in deep learning for drug discovery and development, is pleased to announce that it has entered into a research collaboration with the Indiana Biosciences Research Institute (IBRI). The IBRI will use Insilico's generative machine learning technology and proprietary PandaOmics Drug Discovery Platform to identify novel therapeutic targets implicated in a variety of diseases, OMICS data analysis, and systems biology research.

"PandaOmics is a comprehensive AI-powered platform that will help improve our drug discovery processes and accelerate translational research," said Dr. Daniel Robertson, vice president of digital technology at the IBRI. "This platform will enable us to quickly access, analyze, visualize, and interpret externally-available data effectively to drive our research efforts."

Target discovery is the most risky yet rewarding area in healthcare. It is easy to pick the target for a specific disease, but the wrong choice will result in a Phase II clinical trial failure many years and spending of hundreds of millions of dollars later. Target discovery is usually performed in academic, research and clinical institutions, where the world's most competent researchers formulate disease hypotheses and perform the exploratory experiments. AI systems that incorporate and accelerate the many target discovery philosophies that worked in the past in addition to the novel approaches are likely to significantly increase the chances of successful target discovery.

"Since 2014 we have been developing AI, advanced bioinformatics, and business intelligence tools to identify novel targets for a variety of diseases. Many of these tools and target discovery philosophies are now available in PandaOmics, and we are very happy that the leading research institutions specializing in novel drug discovery are using PandaOmics to augment their discovery capabilities," said Alex Zhavoronkov, PhD, CEO of Insilico Medicine.

PandaOmics integrates more than 60 different engines and approaches to target discovery. It provides biologically interpretable insights coupled with business intelligence with multiple experimentally validated case studies. PandaOmics aims to be the go-to platform for all biologists and clinicians, working with various OMICS datasets.

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About Insilico Medicine:

Since 2014 Insilico Medicine has been focusing on generative models, reinforcement learning (RL), and other modern machine learning techniques for the generation of new molecular structures with the specified parameters, generation of synthetic biological data, target identification, and prediction of clinical trials outcomes. Recently, Insilico Medicine secured $37 million in series B funding. Since its inception, Insilico Medicine raised over $52 million, published over 130 peer-reviewed papers, applied for over 25 patents, and received multiple industry awards. Website http://insilico.com/

About Indiana Biosciences Research Institute:

The Indiana Biosciences Research Institute (IBRI) is a nonprofit discovery science and applied research institute currently targeting diabetes, metabolic disease, poor nutrition and related health data science. Inspired by Indiana's leading life sciences companies, research universities and philanthropic community, the IBRI is building a world-class organization of researchers, innovators and entrepreneurs to catalyze scientific discovery and its applications, resulting in improved health outcomes for Indiana patients and beyond. For more information about the IBRI, visit https://www.indianabiosciences.org/.

For further information, images or interviews, please contact: polly.firs@insilico.com