 |
Our technology addresses critical needs across three major stakeholder groups. In the pharmaceutical industry, drug discovery teams can use this to reduce the typical 10-to-15-year development timeline. Medicinal chemists benefit from designing safer compounds from the start, and regulatory affairs teams get better data for FDA submissions. In the healthcare sector, clinicians prescribing multiple medications can prevent dangerous interactions, pharmacists can catch potential drug interactions before dispensing, and personalized medicine practitioners can tailor treatments based on individual enzyme variants. Academic researchers, including structural biologists studying enzyme mechanisms, computational biologists developing new methods, and drug metabolism researchers, all benefit from the quantitative insights our system provides. The potential annual savings in failed drug development costs through improved metabolism prediction accuracy ranges from 1 to 2 billion dollars industry-wide. |
IEEE/ICACT20260263 Slide.06
[Big Slide]