We've updated our Privacy Policy to make it clearer how we use your personal data. We use cookies to provide you with a better experience. You can read our Cookie Policy here.


Insilico Medicine Receives FDA Orphan Drug Designation for INS018_055

The insilico medicine logo.
Credit: Insilico Medicine
Listen with
Register for free to listen to this article
Thank you. Listen to this article using the player above.

Want to listen to this article for FREE?

Complete the form below to unlock access to ALL audio articles.

Read time: 2 minutes

Insilico Medicine, a clinical-stage end-to-end generative artificial intelligence (AI) driven drug discovery company, has announced that the U.S. Food and Drug Administration (FDA) had granted Orphan Drug Designation to INS018_055 for the treatment of Idiopathic Pulmonary Fibrosis (IPF).

INS018_055 is a potentially first-in-class small molecule inhibitor discovered by Insilico's generative AI platform, Pharma.AI for the treatment of idiopathic pulmonary fibrosis (IPF), a chronic lung disease that causes progressive and irreversible decline in lung function, with a significant unmet medical need worldwide. As the disease progresses damage to the patient’s lung increases and respiratory function is compromised, often with severe consequences.

“We are pleased to announce that Insilico has achieved numerous drug discovery milestones and clinical hope using generative AI.” said Alex Zhavoronkov, Ph.D., Founder and CEO of Insilico Medicine, “We are progressing the global clinical development of the program at top speed to allow patients with fibrotic diseases to benefit from this novel therapeutic as soon as possible.”

In February 2021, Insilico Medicine nominated INS018_055 as the preclinical candidate (PCC) for IPF. This is the first wholly owned program of the company in which AI was used to identify a novel target and generate novel small molecules. The enrollment for the INS018_055 Phase I clinical trial was initiated in New Zealand in February 2022 and in China in May 2022. Both of the clinical trials were completed in 2022. Top-line data from the Phase I clinical trial indicate that the drug candidate has a favorable safety, tolerability, and pharmacokinetic profile. Insilico will initiate a global multicenter Phase II clinical trial in early 2023.

Our commitment to treating patients with idiopathic pulmonary fibrosis is reflected in the FDA’s decision to grant orphan drug designation to INS018_055,” said Sujata Rao M.D., Senior Vice President, Head of Clinical Development at Insilico Medicine. “We are working to advance novel treatment for IPF as we continue clinical investigation in this devastating disease.”

The FDA's Orphan Drug Designation program supports the development and evaluation of drugs that address rare diseases which affect fewer than 200,000 people in the United States. Receiving orphan drug designation from the FDA will facilitate the subsequent development and commercialization of INS018_055 that comes with the designation, including eligibility for federal grants, tax credits for qualified clinical trials, prescription drug user fee exemptions, and a seven-year marketing exclusivity period upon FDA approval.

INS018_055 is a potential first-in-class drug candidate discovered by  Insilico's generative AI platform, Pharma.AI, ” said Feng Ren, Ph.D., Co-CEO and Chief Scientific Officer of Insilico Medicine, “The FDA’s orphan drug designation for the IPF indication is an important milestone in the development of INS018_055. Insilico scientists are now further advancing clinical validation and accelerating the project to meet clinical needs and benefit patients worldwide.”

Drug discovery is a lengthy and risky process. Throughout the multi-year AI-powered drug discovery process Insilico Medicine has recorded and compiled a large amount of documentary footage and multimedia content produced by the Company and its partners worldwide. This footage is now available to documentary film making teams, individual film makers, and students via the Documentary Hackathon (“Docuthon”). Prospective participants are invited to enroll in the Docuthon by submitting their applications via the Docuthon page.