How to Discover a Preclinical Drug Candidate in Two Years

Recent advances in artificial intelligence (AI) has played a pivotal role in optimizing the small-molecule synthesis, standardization, scalability and CRO-based validation. Despite a dose of skepticism about the growing hype around AI, introducing greater automation to a drug design hypothesis has enabled more effectual searches for various compound characteristics concerning …

How Syntekabio’s Supercomputing Enables AI-driven Drug Discovery

What is "supercomputing"? It refers to processing a massive quantity of complex data-intensive and computation-heavy problems often found in scientific or engineering projects. Using a powerful class of ‘multiple’ computer systems working in parallel, supercomputing is built into an infrastructure that is supporting a vast array of disciplines. From quantum …

The Power of STB CLOUD in Remote AI Drug Discovery

STB CLOUD is Syntekabio’s latest cloud-based, fully automated AI platform. It’s designed for developers to engage in their drug discovery and development processes to find drug candidates easier and faster.

Democratizing Early Drug Discovery through Artificial Intelligence: Interview with Syntekabio CEO Jongsun Jung

Before the age of modern drug discovery, the pharmaceutical industry had been plagued with uncertainty and processing challenges, including the timescales, length, complexity and cost of drug discovery. So, what is transforming the biopharma industry and the future of our humanity? The answer lies in two words: artificial intelligence (AI). Once …