Quotient Sciences’ focus is on delivering the most appropriate formulations to expedite your clinical program, through dosing within our own Phase I clinical facilities or at an external site. We work with you to support rapid progression to your first-in-human evaluation where required, ensuring that your ultimate drug product presentation goals can be seamlessly transitioned following confirmation of molecule safety and tolerability. Our formulators’ experience is built on years of work integrating formulation development and clinical evaluation. As a result, our development is based on an understanding of the intended indication including drug products designed for chronic dosing or for pediatric populations.
Our breadth of formulations developed for first-in-human studies includes:
- APIs in a bottle or capsule
- Solutions
- Suspensions
- Tablets
- Capsules
- Parenterals
- Solubility-enhanced dosage forms
First-in-human
Go further with Quotient Sciences
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Fact Sheet
First-in-Human to Proof-of-Concept
Our Translational Pharmaceutics approach enables First-in-Human studies by re-engineering the transition of your drug molecule into clinical development and shortening the timeline to Proof-of-Concept.
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Case Studies
MEI Pharma
MEI Pharma has leveraged Quotient's Translational Pharmaceutics® platform to expedite development of its next-generation cancer therapy ME-401.
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Webinar
Tufts CSDD Study Assessing the Financial Benefits of Translational Pharmaceutics®: A Platform for Accelerating Product Development
This webinar will summarize the key findings of the recent Tufts CSDD research into Translational Pharmaceutics, the innovative approach to drug development. It demonstrates significant time savings of >12 months and financial gains of >$100 million per drug approved.
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Scientific Posters
AAPS 2019 Poster- Comparison of Two In-Silico Modeling Programs, ADMET Predictor® and Percepta® to Predict Intrinsic Solubility and pKa of Poorly Soluble Drugs
Presented at AAPS 2019: Aqueous solubility is a prerequisite for oral absorption of a drug and the pH-dependence of aqueous solubility is critical information to guide formulation development strategies. The purpose of this study was to evaluate the physical property modules in two commercially available in-silico modelling programs in predicting the pH solubility profiles as described by the ionization constant (pKa) and the intrinsic solubility of the unionized form.