Leveraging 50 years of combined expertise in modeling, analysis, and simulation methods from molecular modeling to clinical trial simulation, Certara supports translational science needs.
Certara’s divisions bring a combined experience of over 50 years in software development and predictive science. Each division has a primary focus on a key phase within the drug discovery and development process; combined, they offer a unique set of capabilities for modeling, analysis and simulation, and scientific informatics that can enable the cross-disciplinary approaches necessary for translational science initiatives.
Software and scientific consulting services to help pharmaceutical and biotechnology companies reduce the time, cost and risk of drug development.
Software enabling life science researchers to accelerate the identification and optimization of new compounds in the drug, chemical, research, food, flavoring and fragrance markets.
Certara’s D360 has been deployed to thousands of scientists, in companies from the smallest biotechs to the largest pharmaceutical organizations, to provide scientists with the ability to readily access all their research data, analyze that data, and share their findings and work with their colleagues, regardless of the systems in which data is stored.
D360 has been applied throughout the drug discovery and development process from small molecule discovery through preclinical study logistics to cross-study analysis of safety data. Bringing together data from different scientific disciplines provides an extensive cross-functional data perspective that is essential to all the approaches taken to translational science. D360’s queryable data network approach allows scientific data from throughout the traditional discovery-development process to be explored in a way that makes scientific sense to assess therapeutics and uncover trends connecting biomarkers with clinical outcomes and potentially predictive discovery assays.
Contact us to discover how Certara can help your organization achieve its translational science goals.
Search Our Archives