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.

The State of A.I. Drug Discovery and Its Future: Small Molecules, Vaccines, and Antibodies

Artificial intelligence (A.I.) and big data in a synergistic integration have led to promising results in new drug development by drastically reducing cost and time. This trend in the biopharmaceutical market has emerged as a new industry standard as startups—each with distinctive core A.I. algorithm—fiercely compete to capture their global …