Highlights:
CAMBRIDGE, Mass., Nov. 12, 2024 /PRNewswire/ -- Insilico Medicine ("Insilico"), a clinical-stage generative artificial intelligence (AI)-driven biotechnology company, today announced positive topline results from the Phase IIa trial of ISM001-055, the novel drug candidate developed in-house using generative AI to target TNIK (Traf2- and NCK- interacting kinase) for the treatment of idiopathic pulmonary fibrosis (IPF). The results demonstrate that ISM001-055 is safe, well-tolerated, exhibits a favorable pharmacokinetics (PK) profile, and has encouraging clinical efficacy as measured by improvement in forced vital capacity (FVC) at 12 weeks.
"I am very impressed by the positive results observed in IPF patients treated with ISM001-055, particularly the encouraging improvement in FVC. It not only reflects ISM001-055's potential to slow disease progression but also suggests its capability to stop or even reverse it,"said Zuojun Xu, M.D., Professor of Peking Union Medical College and the principal investigator in the Phase IIa trial of ISM001-055 in IPF patients. "AI, as an advanced technology, is already playing a crucial role in many aspects of medical practice, including drug discovery and clinical research, and we expect to see the real clinical benefits it brings to patients."
ISM001-055's Phase IIa study (NCT05938920) was a double-blind, placebo-controlled trial that enrolled 71 patients with IPF across 21 sites in China. Patients were randomized to receive either placebo, 30 mg once daily (QD), 30 mg twice daily (BID), or 60 mg QD for 12 weeks. Key findings from the ISM001-055 Phase IIa clinical trial topline results include:
To further progress the program, Insilico Medicine appointed Dr. Carol Satler, MD, PhD, as Vice President of Clinical Development responsible for advancing the development of non-oncology programs. Dr Satler is a seasoned physician executive with over 20 years of experience across drug discovery, development, and lifecycle planning in the industry. In her new role, Dr. Satler will play a pivotal role in the further clinical validation of Insilico's leading program ISM001-055.
"The results of the Phase IIa study are highly promising. The dose-dependent improvement in FVC in IPF patients treated with ISM001-055 compared to those treated with placebo suggest ISM001-055 may play a role in both the prevention of progression of IPF as well as disease regression, thus highlighting the disease-modifying potential. Future studies will help delineate these benefits further with the hope that ISM001-055 may transform the current treatment paradigm and translate to better overall outcomes for patients with idiopathic pulmonary fibrosis, a progressive fatal debilitating disease," said Dr. Carol Satler, MD, PhD, Vice President of Clinical Development.
The US Clinical Study is Actively Enrolling
"These results are very encouraging, particularly the dose-dependent response in FVC. IPF is a devastating disease, and seeing improvements in lung function over just 12 weeks of treatment is a promising indication that ISM001-055 may provide a new therapeutic option for patients. Our Phase IIa in the U.S. is actively recruiting patients," said Toby M. Maher, MD, PhD, a leading expert in interstitial lung disease and the leading investigator of the ISM001-055 US clinical trial.
Program Background and Peer-Reviewed Published Materials
Idiopathic Pulmonary Fibrosis (IPF) is a chronic, scarring lung disease characterized by a progressive and irreversible decline in lung function. Affecting approximately 5 million people worldwide, IPF carries a poor prognosis, with a median survival of 3 to 4 years. Current approved treatments, including antifibrotic drugs, can slow disease progression but do not stop or reverse it, leaving a significant unmet need for more effective, disease-modifying therapies.
ISM001-055 is a potentially first-in-class small molecule targeting TNIK developed utilizing generative AI. In IPF, the activation of TNIK drives pathological fibrosis in the lungs, contributing to the progressive decline in lung function. By inhibiting TNIK, ISM001-055 aims to halt or reverse fibrotic processes, offering a disease-modifying treatment for patients with IPF. The history of discovery, design and development including target discovery, generative chemistry, multiple in-vitro and in-vivo experiments as well as the results of Phase I clinical studies in human volunteers were published in a Nature Biotechnologyarticle in March 2024. The medicinal chemistry portion of ISM001-055's discovery was published in the Journal of Medicinal Chemistry in October 2024. Potential additional roles of TNIK in age-related diseases were published in Cell Trends in Pharmacological Sciences in June 2024.
Insilico will be initiating discussions with regulatory bodies based on these encouraging results and will be pursuing a pivotal trial of ISM001-055 in IPF patients. In addition, complete Phase IIa data from this study will be presented at an upcoming medical conference and published in reputable medical journals.
"We are thrilled with the positive results from this Phase IIa clinical trial, which underscore the potential of generative AI and robotics to facilitate the discovery, design, and development of innovative therapies and improve patient outcomes," said Alex Zhavoronkov, Ph.D., Founder and CEO of Insilico Medicine. "We aim to set industry benchmarks for drug discovery and development using generative AI and execute on the promise to make effective therapies faster, cheaper, with higher probability of success, and with higher quality, reproducibility, and academic integrity compared with traditional biotechnology approaches."
In 2016, Insilico first described the concept of using generative AI for the design of novel molecules in a peer-reviewed journal, which laid the foundation for the commercially available Pharma.AI platform. In 2018, Insilico applied for patents covering generative biology approaches published in 2020 and granted in 2022, demonstrating the ability to generate molecules for the desired expression patterns. In 2019, it demonstrated the potential and experimental validation of its Generative Tensorial Reinforcement Learning (GENTRL) approach to small molecule drug design. Since then, Insilico has continued to integrate technical breakthroughs into the Pharma.AI platform, which is currently a generative AI-powered solution spanning biology, chemistry and clinical development. Powered by Pharma.AI, Insilico has nominated 20 preclinical candidates in its comprehensive portfolio of over 30 assets since 2021 and has received IND approval for 10 molecules. AI software platforms used to discover TNIK and design ISM001-055, Biology42: PandaOmics and Chemistry42: Generative Chemistry are commercially available as part of Pharma.AI.
About Insilico Medicine
Insilico Medicine, a global clinical-stage biotechnology company powered by generative AI, is connecting biology, chemistry and clinical trial analysis using next-generation AI systems. The company has developed AI platforms that utilize deep generative models, reinforcement learning, transformers and other modern machine learning techniques for novel target discovery and the generation of novel molecular structures with desired properties. Insilico Medicine is developing breakthrough solutions to discover and develop innovative drugs for cancer, fibrosis, central nervous system diseases, infectious diseases, autoimmune diseases, and aging-related diseases.
