VeriSIM was founded in 2017 by Dr. Jo Varshney, a multidisciplinary and celebrated leader in veterinary & human health development. Together with a team of world-class scientists, machine learning engineers and in silicon simulation experts the team is bringing clarity to drug development through computational sciences rather than the existing trial and error experimentation approach.
The leadership believes that with their machine learning-driven approach, they can pre-flight advancements in medicine without the need for redundant trials, subjecting animals to the cruelty of testing, and with far better outcomes than the 8% success currently seen in medicine making it to market. More people will be able to receive the treatments they require and our partners will see faster and verified results from their research.
CEO & Founder of Global Predictions; Chairman & Founder Iris Automation
Former VP, QuintilesIMS, AstraZeneca
Former VP Sanofi, Bill & Melinda Gates Research Institute, FDA Advisory Committee
Strategic Advisor
Strategic Advisor
Strategic Advisor
Diversity, Inclusion, and Belonging at VeriSIM Life work very differently than in the industries and world in which we interact. As a ground up approach, we value — with the highest of esteem — the diverse backgrounds, experiences, and knowledge bases that each member of our team represents and brings to VeriSIM Life.
By requiring that collaboration and communication come from a place of understanding these differences, we can quickly, with agility and efficiency, navigate through our own environment by fully engaging in the wealth of cognitive diversity that comes from accessing our whole selves. In doing so, we solve more of the problems standing in front of our mission. We do this through a commitment and practice in leading with questions, offering and receiving feedback that is communicated with identities and communication style taken into consideration. We share cultural experiences together, and have mandated that anyone at VeriSIM Life may escalate concerns to our CEO and depend on one another in times of crisis or whenever one feels unsafe.
AtlasGEN Novel Drug Designer efficiently identifies new molecules based on favorable chemical properties and simultaneously evaluates them for clinical safety and effectiveness based on biology using VeriSIM Life’s groundbreaking Translational Index™ technology.
Iterative ranking of target engaging hits by their Translational Index values reduces the time and cost associated with other computational hit discovery approaches, while compressing the hit-to-lead refinement and optimization process by pre-validating hits for translatability. This unique integration dramatically reduces the number of compounds to evaluate in subsequent experimental research.
The ability to generate target engaging compound hits depends largely on the size of the molecular search library. The AtlasGEN search space is supported by more than 1 trillion compounds. Generative AI and deep learning techniques deliver unprecedented discovery capability.
AtlasGEN accurately predicts protein-lygand binding affinity by combining geometric conformer analysis with machine learning based on experimental data 72% more efficiently than molecular docking-based approaches.
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