Merck KGaA, Darmstadt, Germany to deploy Insilico Medicine's Chemistry42 AI platform

Insilico Medicine announces the first deployment of its flagship generative chemistry AI platform for de novo molecular design, Chemistry42™ on Merck KGaA, Darmstadt, Germany's high-performance computing infrastructure

November 17, 2020, 9:00AM EST-- Following the release of Chemistry42 to a select group of key experts in the pharmaceutical industry in Q3 2020, Insilico Medicine is proud to announce that Merck KGaA, Darmstadt, Germany will be the first launch partner for its flagship generative chemistry artificial intelligence (AI) platform - Chemistry42. Merck KGaA, Darmstadt, Germany will integrate Chemistry42™ into their discovery pipeline to facilitate rapid and effective drug design. Chemistry42 v1.0 will be customized and deployed on state-of-the-art high-performance computing (HPC) infrastructure at Merck KGaA, Darmstadt, Germany.

"We are very happy to have Merck KGaA, Darmstadt, Germany sign on as our very first launch partner as they have substantial experience in the field of AI-powered drug discovery internally and built a world-class computing infrastructure," said Alex Zhavoronkov, PhD, founder, and CEO, Insilico Medicine.

Since the publication of Ian Goodfellow's original paper on generative adversarial networks (GANs) in 2014, Insilico Medicine has been developing generative chemistry and generative biology algorithms. In 2016, Insilico Medicine published the first peer-reviewed publication describing the application of GANs to small molecule discovery in oncology. Between 2016 and 2020 Insilico Medicine authored over 40 papers and has been granted several patents in this field. Insilico Medicine has conducted several proof of concept validation experiments that demonstrate that generative models can successfully identify novel targets, and design molecules with desired properties that can be synthesized and tested in vitro and in vivo. 

"We're excited to continue to deploy the latest tools in AI," said Joern-Peter Halle, Global Head of Research for the Healthcare business sector of Merck KGaA, Darmstadt, Germany. "AI has the potential to transform the drug discovery process and Insilico Medicine is at the forefront of exciting AI techniques, such as this generative chemistry AI platform."

Chemistry42™ is a core part of Insilico's Pharma.ai drug discovery suite. It is a flexible, user-friendly software platform that bridges artificial intelligence (AI) and machine learning methods with domain expertise in the fields of medicinal and computational chemistry, for the design of novel small molecules with desirable physicochemical properties. The platform is a scalable distributed web application, capable of running multiple tasks in parallel in a matter of hours. Container orchestration and workflow management allow for predictable hardware-agnostic resource allocation, and for the implementation on either cloud or local HPC infrastructures.

"Chemistry42 v1.0 is the result of years of comprehensive research in generative chemistry, close collaboration between computational and medicinal chemistry scientists, and best high-performance computing engineering practices. We are excited to work closely with Merck KGaA, Darmstadt, Germany and look forward to demonstrating the impact of our collaboration on their drug discovery programs," said Alex Zhebrak, PhD, CTO of Insilico Medicine.

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About Merck KGaA, Darmstadt, Germany

Merck KGaA, Darmstadt, Germany, a leading science and technology company, operates across healthcare, life science and performance materials. Around 57,000 employees work to make a positive difference to millions of people's lives every day by creating more joyful and sustainable ways to live. From advancing gene editing technologies and discovering unique ways to treat the most challenging diseases to enabling the intelligence of devices - the company is everywhere. In 2019, Merck KGaA, Darmstadt, Germany, generated sales of € 16.2 billion in 66 countries.

The company holds the global rights to the name and trademark "Merck" internationally. The only exceptions are the United States and Canada, where the business sectors of Merck KGaA, Darmstadt, Germany operate as EMD Serono in healthcare, MilliporeSigma in life science, and EMD Performance Materials. Since its founding in 1668, scientific exploration and responsible entrepreneurship have been key to the company's technological and scientific advances. To this day, the founding family remains the majority owner of the publicly listed company.

About Insilico Medicine

Insilico Medicine develops software that leverages generative models, reinforcement learning (RL), 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 (http://www.insilico.com/platform/) and developing its own pipeline of preclinical programs. The preclinical program is the result of pursuing novel drug targets and novel molecules discovered through its platforms. Since its inception in 2014, Insilico Medicine has raised over $52 million and received multiple industry awards. Insilico Medicine has also published over 100 peer-reviewed papers and has applied for over 25 patents. Website http://insilico.com/

Media Contact

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

Insilico Medicine rebrands Pandomics as PandaOmics, releases a new version

Insilico Medicine introduces new features in its new target discovery platform and announces a name change from Pandomics to PandaOmics

 Thursday, November 12, 2020 -- Insilico Medicinetoday announced the release of a new version of its flagship AI-powered biological target discovery system and a name change from Pandomics to PandaOmics. The original name intended to reflect that the system will handle all (pan-) omics data types and integrated the company mascot - Panda (in 2016 the company published its iPANDA algorithm for dimensionality reduction); however, due to the coronavirus pandemic, the Pandomics name got closely associated with pandemics, and the company is in the process of renaming the system. 

The PandaOmics v1.02 has multiple bug fixes and several additional features requested by the customers: 

1. Omics dataset search by therapeutic area name;

2. The ability to create meta-analysis for several Omics datasets.

3. Target ID - a collection of AI based scores that proposes actionable targets based on molecular data (analysed in PandaOmics) and previously published text-based data.

"A lot of effort has been put in the development of PandaOmics therapeutic target discovery platform. Despite the name change, we will preserve our high quality of standards and ensure that the platform will help even larger number of researchers with their drug discovery programs", said Ivan Ozerov, Target Discovery Director at Insilico Medicine, responsible for PandaOmics development from its early onset.

"While the majority of the customers got used to and liked the name Pandomics, due to COVID-19 the popular search engines started autocorrecting the name to pandemics, and we decided to make this change. Panda remains our company's mascot and we are making a minor change to the name - PandaOmics. The system is designed to provide the biomedical community with the ability to identify biological targets using gene and protein expression data as well as other data types, evaluating the novelty, assessing and annotating these targets, and performing virtual validation of these targets using prior knowledge", said Alex Zhavoronkov, PhD, CEO of Insilico Medicine. 

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

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 trials 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 announces a multi-target AI-powered drug discovery collaboration with Janssen

Insilico Medicine, a leader in deep generative reinforcement learning for target discovery, small molecule generation, and prediction of clinical trial outcomes, today announced that it entered into a multi-target drug discovery agreement with Janssen Pharmaceutica N.V. (Janssen), one of the Janssen Pharmaceutical Companies of Johnson & Johnson. The collaboration was facilitated by Johnson & Johnson Innovation LLC. 

Under the terms of the agreement, Insilico Medicine will design small molecule hits with the defined properties for several targets nominated by Janssen and to receive upfront and milestone payments. Insilico Medicine will demonstrate the discovery process and detailed platform capabilities. 

"We are very happy to collaborate with Janssen, one of the leading and most innovative companies in the field of drug discovery. Since 2019 Insilico Medicine has been a resident of Johnson & Johnson Innovation – JLABS which facilitated closer communication with the scientists at Janssen and other companies in the ecosystem and we see this collaboration as a "graduation" from JLABS", said Alex Zhavoronkov, PhD, founder, and CEO of Insilico Medicine.

Since 2015 Insilico Medicine pioneered the field of generative adversarial networks and reinforcement learning for generative chemistry and generative biology and published multiple research publications and patents in the area including proof-of-concept studies with experimental validation. In 2020 it unveiled the Chemistry42 generative chemistry operating system and made first on-site deployments with the big pharmaceutical companies and drug discovery partnerships. 

"We are very happy to collaborate with Janssen, one of the leading and most innovative companies in the field of drug discovery. Since 2019 Insilico Medicine has been a resident of Johnson & Johnson Innovation – JLABS which facilitated closer communication with the scientists at Janssen and other companies in the ecosystem and we see this collaboration as a "graduation" from JLABS", said Alex Zhavoronkov, PhD, founder, and CEO of Insilico Medicine.

About Insilico Medicine

Insilico Medicine develops software that leverages generative models, reinforcement learning (RL), 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. The preclinical program is the result of pursuing novel drug targets and novel molecules discovered through its platforms. Since its inception in 2014, Insilico Medicine has raised over $52 million and received multiple industry awards. Insilico Medicine has also published over 100 peer-reviewed papers and has applied for over 25 patents. Website http://insilico.com/

Contact: ai@insilico.com

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http://insilico.com/

Deep Longevity and SquareOne Wellness partner on deep biomarkers of aging and longevity

Deep Longevity added SquareOne Wellness to its growing longevity network; SquareOne physicians will get training in longevity medicine and interpret the AgeMetric™ reports incorporating multiple aging clocks

Today, Deep Longevity Inc, a pioneer in deep biomarkers of aging and longevity, and SquareOne Wellness announced a collaboration to deploy an extensive range of AI-powered aging clocks. Deep Longevity is to develop and provide the customized predictors of human biological age to the network of SquareOne Wellness clinicians and to provide a training program in longevity medicine.

Deep Longevity is a fully-owned subsidiary of a public company, Regent Pacific Group Limited (SEHK:0575.HK). Deep Longevity developed and exclusively in-licensed a portfolio of granted and pending patents on aging clocks developed using the latest advances in artificial intelligence.

Deep Longevity aging clocks are supported by a number of academic publications summarized in a recent review titled "BioHorology and biomarkers of aging: Current state-of-the-art, challenges and opportunities"

"The traditional approach to preventative medicine is focused on preventing disease by diagnosing the symptoms early or reducing the risks of disease. The AI-guided longevity medicine goes much further then that and is focusing on tracking the person's rates of aging at many levels, identification of longevity bottlenecks, and utilizing the latest advances in science and technology to slow down or reverse biological and psychological aging. We are very happy to have SquareOne join the rapidly growing network of our research and clinical partners focused on providing customers with extra years of productive and happy life", said Alex Zhavoronkov, Chief Longevity Officer of Deep Longevity Inc. 

SquareOne Wellness has been on the forefront of total wellness in the treatment of addiction. SquareOne has a holistic approach to wellness and addiction whose goal is to help patients live happier, healthier and longer lives. Deep Longevity and SquareOne will partner to see the impact that the utilization of aging clocks has on continued recovery. "We are always looking for new tools to help our patients reach their full potential in their recovery and in their overall health and life. We believe that the addition of deep aging clocks will be an added tool in long term patient success", said Joshua Jones, Director of Patient Interactions of SquareOne Wellness.

In the scope of the partnership SquareOne Wellness physicians will be trained in deep aging clocks and will be able to provide their customers with AgeMetric™ reports and engage in advanced research to assess the performance of aging clocks in the context of continued recovery.

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About Regent Pacific (SEHK:0575.HK)

Regent Pacific 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.

http://www.regentpac.com/

About SquareOne Wellness.

SquareOne Wellness is an addiction and wellness clinic that focuses on recovery of opioid addiction and behavioral health. SOW focus is on helping patients look at every aspect of their health utilizing medically assisted treatment, behavioral health therapy and lifestyle changes to help sustain recovery and live healthier and longer lives. For more information, visit Squareonewellness.org.

About Deep Longevity, Inc

Deep Longevity has been acquired by Regent Pacific (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 experts 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.

http://longevity.ai/

Insilico partners with Taisho on end-to-end AI-powered senolytic drug discovery

Insilico partners with Taisho Pharmaceutical on end-to-end AI-powered senolytic drug discovery. Leading Japanese pharmaceutical company to engage Insilico Medicine on research partnership in the discovery of novel molecules

Thursday, October 15, 2020 (9 am ET) - Insilico Medicine announced today that Taisho Pharmaceutical Co., Ltd. and Insilico have entered into a research collaboration to identify novel therapeutics against aging. Insilico Medicine will utilize both the target discovery and generative chemistry parts of its Pharma.AI platform in this collaboration. It will use its proprietary Pandomics Discovery Platform to identify novel targets for senolytic drugs and Chemistry42 platform for a molecular generation. This collaboration brings together Insilico's state-of-art artificial intelligence (AI) technologies in drug discovery with Taisho's expertise in drug development, aimed to extend the human healthspan.

'We're delighted to collaborate with Taisho pharmaceutical, a well-recognized leader in the pharmaceutical industry and healthcare sector. It is believed that aging is a universal phenomenon that we cannot stop. However, emerging scientific evidence has shown that one may be able to reverse some of the age-associated processes. Through this collaboration, we will adopt our AI-powered drug discovery suites together with Taisho's validation platform to explore the new space of anti-aging solutions', said Jimmy Yen-Chu Lin, PhD, CEO of Insilico Medicine Taiwan, a fully-owned subsidiary of Insilico Medicine

Under the terms of the agreement, Insilico Medicine will receive an upfront payment and milestone payments upon achievement of specified goals. Insilico Medicine will be responsible for early research phase target identification and molecular generation and Taisho will work collaboratively with Insilico in validating the results in various in vitro and in vivo assays. Taisho has the exclusive option to acquire Insilico's co-ownership of the successfully developed programs under agreed payment.

'It is our great honor to be collaborating with the scientists of Taisho Pharmaceutical, one of the top 100 pharmaceutical companies in the world operating since 1912. The high level of the scientists we are interfacing, and our previous successes in the application of the Pharma.AI platform for discovery of novel targets and molecules in fibrosis, and previous experience in senolytic drug discovery give us confidence that this collaboration will be successful', said Alex Zhavoronkov, PhD, founder and CEO of Insilico Medicine.

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About Taisho Pharmaceutical Co., Ltd.

https://www.taisho.co.jp/global/

Media Contact

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

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 trials 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/

Insights from the largest conference on aging research and drug discovery revealed

The 4-day, 7th Aging Research, and Drug Discovery on-site and online conference organized by the University of Copenhagen, Columbia University, and Deep Longevity scientists attracted over 2,500 delegates

 Wednesday, September 30th, Copenhagen, Denmark -- The laboratory of the biology of aging at the University of Copenhagen, is happy to reveal the online availability of the lectures from the 7th Aging Research, and Drug Discovery (ARDD2020) on-site and online conference organized by the University of Copenhagen, Columbia University, and Deep Longevity scientists. The consented video lectures are available at http://www.AgingPharma.org. 

"It took a small village to be able to complete our Aging Research and Drug Discovery meeting. Huge thanks to everyone at Insilico Medicine and Deep Longevity as well as my co-organizers Alex Zhavoronkov and Daniela Bakula. Also thanks to the CESA staff who helped with the local arrangements. Without all these people the conference would not have reached the level that we did. As a final note, I want to encourage everyone to keep a lookout for next year's meeting. This time hopefully we will be able to meet in person at Columbia University, New York City. ", said Morten Scheibye-Knudsen, MD, Ph.D., the chair of the 7th Aging Research, and Drug Discovery, and head of the biology of the aging laboratory at the center for healthy aging at the University of Copenhagen. 

In 2020 the conference brought together over 2,500 registered delegates from academia, industry, and the government over 4 days with over 70 speakers and panelists. 

"We believe that this is the largest aging research meeting focusing on drug discovery and development to date. I am very happy to see that over the past 7 years since we started the meeting in Basel, it has grown and the longevity industry has evolved, matured, and gained the attention of the pharmaceutical companies and the governments worldwide. Healthy longevity is a fundamental human need and we need to dramatically expand the industry to make people live longer and healthier", said Alex Zhavoronkov, Ph.D., co-founder of ARDD, CEO of Insilico Medicine, and Chief Longevity Officer of Deep Longevity. 

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About 7th Annual Aging Research and Drug Discovery (ARDD)

The Annual Aging Research and Drug Discovery (ARDD) Conference is an annual scientific conference bringing together academic, government, and industry thought leaders in aging research and longevity biotechnology. Started in 2014 as part of MipTec and later as part of Basel Life Science Week in Basel, Switzerland, the conference grew over the years to become the largest academic and industry meeting spanning 4 days with over 2,500 delegates in 2020 chaired by Morten Scheibye-Knudsen, MD, Ph.D., Daniela Bakula, Ph.D., of the University of Copenhagen and Alex Zhavoronkov, Ph.D. of Deep Longevity and Insilico Medicine. The conference is different from the other events in the field as it focuses on the translational aspect of aging research and has substantial participation from the large pharmaceutical and biotechnology companies and leading clinical centers. In the past, executives from Novartis, Roche, Regeneron, and many other pharmaceutical companies presented their research in aging. The conference materials are available at http://www.AgingPharma.org.

Insilico releases Pandomics, AI-powered platform for Novel Therapeutic Target Discovery

 A novel end-to-end AI-hypothesis generation engine that seamlessly interprets OMICS and text-based data for the discovery and analysis of novel therapeutic targets

HONG KONG, Sept. 23, 2020 /PRNewswire/ -- Insilico Medicine announces the official release of Pandomics - a part of the Pharma.ai AI platform designed to empower pharmaceutical target and drug discovery pipelines. Research biologists and clinicians can use Pandomics to perform OMICS data analytics and interpretation without requiring any prior knowledge of computational biology or bioinformatics. Additionally, drug target identification and biomarker development specialists can generate powerful hypotheses and assess repositioning strategies by harnessing the power of Artificial Intelligence (AI).

Insilico Medicine started working on an engine for target identification back in 2014. Since then, the technology has been validated through several successful partnering initiatives with pharmaceutical companies and research organisations as well as through Insilico Medicine's own internal drug development programs.

Pandomics aims to be the go-to platform for all biologists and clinicians, working with various OMICS datasets, and to quickly analyse, interpret and visualise data effectively in order to classify patient cohorts more accurately. 

"At Insilico, we have developed a platform that hands the power of bioinformatics over to the researcher's hands. Biologists, clinicians and therapeutic target specialists, will gain a wide range of novel visual ways to interpret biological data. When designing the tool, we focused on storytelling in data analysis and providing guidance for each step," said Alexey Dubovenko, Product Director for Pandomics at Insilico Medicine.

"We recently used parts of the Pandomics platform in combination with Chemistry42, our generative chemistry platform and inClinico, our clinical trials prediction platform, to demonstrate that we can go from the nomination of disease of interest to novel disease targets, to compounds that are ready to enter IND-enabling studies in record time. We also collaborated with dozens of key opinion leaders in different disease areas to complete experimental validation of Pandomics. We are very happy to put this system into the hands of research scientists, drug discovery and development experts, and medical doctors interested in research and academic publishing," said Alex Zhavoronkov, PhD, Founder and CEO of Insilico Medicine.

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

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 trials 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/