The United Arab Emirates has taken a notable step in its push toward advanced biotechnology, announcing what it describes as the country’s first fully AI-discovered and developed cancer drug candidate.
The compound, known as ISM0387, was developed using artificial intelligence and is designed to target aggressive cancers, including certain brain tumors and solid malignancies. The candidate is currently in the preclinical stage of development.
The drug candidate focuses on inhibiting PRMT5, an enzyme associated with tumor growth in cancers involving specific genetic vulnerabilities. By targeting this pathway, researchers aim to create a treatment that selectively impacts cancer cells while limiting harm to healthy tissue.
This approach reflects a broader shift in oncology toward precision medicine, where treatments are designed to exploit specific biological characteristics of tumors rather than relying on more generalized therapies.
Early findings indicate that the compound has shown the ability to suppress tumor growth in preclinical studies. It is also reported to cross the blood–brain barrier, a key challenge in developing therapies for neurological cancers.
One of the defining aspects of ISM0387 is the speed at which it was developed. The discovery phase, supported by artificial intelligence, reportedly took just a few months, during which multiple molecular candidates were generated and evaluated. The full process from initial design to preclinical selection was completed in under a year.
This compressed timeline highlights a key advantage of AI-driven drug discovery. Traditional pharmaceutical development is widely understood to be a lengthy and resource-intensive process, often taking many years before a viable candidate reaches clinical trials.
AI platforms, by contrast, are designed to analyze large datasets and simulate molecular interactions at scale, allowing researchers to explore a broader range of possibilities in a shorter period.





