Articles

Certara launches Simcyp Access

New licensing approach allows smaller organizations easier access to PBPK modeling and simulation platform
Written byMel J. Yeates
| 3 min read

PRINCETON, N.J.—Early in March, Certara, a provider of decision support technology and consulting services for optimizing drug development and improving health outcomes, announced the launch of Simcyp Access. This new cloud-based licensing approach provides trained individuals at smaller pharmaceutical companies (less than 500 employees) with a method for using Certara’s Simcyp population-based simulator (Simcyp Simulator) in research projects.

To continue reading this article, subscribe for FREE toDrug Discovery News Logo

Subscribe today to keep up to date with the latest advancements and discoveries in drug development achieved by scientists in pharma, biotech, non-profit, academic, clinical, and government labs.

Add Drug Discovery News as a preferred source on Google

Add Drug Discovery News as a preferred Google source to see more of our trusted coverage.

About the Author

Here are some related topics that may interest you:

Subscribe to Newsletter

Subscribe to our eNewsletters

Stay connected with all of the latest from Drug Discovery News.

Subscribe

Sponsored

Researcher using a laptop with a digital DNA helix and molecular biology graphics overlaid, illustrating connected workflows for sequence design, data management, and therapeutic research.
To keep pace with modern drug discovery, researchers need molecular biology approaches that can support complexity without slowing down the science.
Shaping Science graphic featuring the question “How can labs become truly sustainable?” and a photo of James Connelly, Chief Executive Officer of My Green Lab.
Creating more sustainable laboratories depends on practical changes that strengthen scientific performance while reducing environmental impact.
A gloved laboratory technician selects a labeled blood sample tube from a rack containing multiple color-coded collection tubes.
Analytical performance begins long before a sample reaches the instrument, making sample preparation one of the most important determinants of data quality.