Verseon's drug design platform achieves consistency, speed, and cost-effectiveness by exploring a vast novel chemical space of drug-like compounds using a highly accurate computational modeling engine that identifies suitable compounds for virtually any target with known protein structure.
Molecule Creation Engine
Verseon's proprietary molecule creation engine generates virtual drug-like, chemically-diverse, synthesizable molecules, in numbers that are far in excess of the distinct, synthesized compounds currently in the corporate collections of today’s pharmaceutical companies. This technology provides the Verseon’s medicinal chemists with a practically unlimited supply of genuinely novel, potential drug candidates.
The molecule creation engine also provides a synthetic scheme for every molecule, thus reducing uncertainty and cost when a molecule is ultimately selected for synthesis.
Molecule Modeling Engine
At the heart of Verseon's drug discovery platform is Verseon's proprietary molecule modeling engine. The engine is based on advances in the modeling of molecular interactions between drug candidate molecules and a given protein target in their aqueous environment.
To apply a computational approach on the scale of hundreds of millions of drug candidates, the molecule modeling engine is designed to run in parallel across a large dedicated, private computing cloud. High accuracy combined with massive computational resources allows Verseon to screen hundreds of millions of potential drug candidates and select the most promising few for synthesis, laboratory testing, and optimization.
The molecules selected by the molecule creation engine are synthesized and tested for relevant chemical and biological properties. The molecules that are found to have the best properties in laboratory testing are further optimized.
The optimization process generates variations of the best molecules using the molecule creation engine, selects the top few using the molecule modeling engine, and sends them again for further laboratory verification. Within a few such optimization cycles, multiple candidates can be readied for completion of pre-clinical studies and further clinical development.