Optimize Immuno-oncology Drug Discovery and Development Using QSP

A Quantitative Systems Pharmacology (QSP) approach for developing combination immune-oncology therapies can be used to better predict effective drug combinations, especially to more accurately correlate the physiological differences between preclinical models and human patients.

Pirana Modeling Workbench

Pirana is a flexible and extendible modeling workbench with an intuitive graphical user interface for facilitating pharmacometric workflows for NONMEM, PsN, Xpose/R, and more. Pirana’s research tools facilitate the iterative processes used to create Pop PK/PD models, resulting in better organization and more efficient analysis of results.

Changing the Game in Oncology Drug Development and Patient Access

Maximize your understanding of your anti-cancer drug’s safety and efficacy profile to achieve regulatory and commercial success with Certara’s strategic and technology-enabled services across the entire drug development continuum – from pre-clinical first-in-human studies to regulatory submissions, health economics/outcomes research and market access value communication.

Managing Immunogenicity Using Quantitative Systems Pharmacology

Biologic drug development is a rapidly evolving sector in the biopharmaceutical industry. Immunogenicity is an inherent challenge with this complex class of drugs. A quantitative systems pharmacology approach can be used to predict and better manage immunogenicity, and as a tool to guide clinical and regulatory decision-making in biologics drug development.

Certara’s Best of Blogs 2016

A selection of short essays from our blog, written to empower our customers with modeling and simulation (M&S) and regulatory writing solutions in order to help them solve the toughest drug development problems. Certara staff contributions range in topic from pharmacometrics to systems biology to the growing importance of regulatory writing and sharing clinical trial results.

The Future of Drug Development is Virtualized and Personalized

Today, drug development is carried out in human subjects and animals. However, as computing power and the number of sophisticated technology platforms grow exponentially, and our knowledge of human health and disease increases, the virtualization of clinical research and development will grow steadily.

Multistep Reaction Based De Novo Drug Design: Generating Synthetically Feasible Design Ideas

We describe a “multistep reaction driven” evolutionary algorithm approach to de novo molecular design. Structures generated by the approach include a proposed synthesis path intended to aid the chemist in assessing the synthetic feasibility of the ideas that are generated. The methodology is independent of how the design ideas are scored, allowing multicriteria drug design … Continued

A 3D QSAR model of 17β-HSD1 inhibitors based on a thieno[2,3-d]pyrimidin-4(3H)-one core applying molecular

The 17ß-hydroxysteroid dehydrogenase type 1 (17ß-HSD1) enzyme plays a crucial role in female hormonal regulation by catalysing the NADPH-dependent reduction of the less potent estrone E1 into the biologically active estradiol E2. Because 17ß-HSD1 is a key enzyme in E2 biosynthesis, it has emerged as an attractive drug target for inhibitor development. Herein we report … Continued

Solving Molecular Discovery Problems with CoMFA over the Years

Nearly half of drug candidates fail because of inadequate safety in pre-clinical testing, representing an expensive loss of investment and lost opportunity. Often, drugs are found to cause toxicity through off-target activity. Therefore, understanding how drugs interact with their target receptors, and minimizing off-target activity is crucial to developing effective medications. Over my career, I’ve … Continued

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