De-risk your projects from the earliest stages with predictions of the maximum recommended therapeutic dose (MRTD) that can safely be administered daily. Combined with predictions of human oral dose AUC and Cmax, determine whether an efficacious regime is predicted to be available for your hit compounds.

If you are uncertain, feel free to use our service selector to learn more about the service most suitable for you.

Introduction

Human MRTD prediction from structural descriptors:

  • Robust predictions, ideal for virtual screening and compound selection.
  • Predictions of MRTD along with human oral dose AUC and Cmax
  • Send structures as SMILES or sdf
  • No specialized staff required
  • No software licensing costs
  • Predictions within one working day of receipt of valid structures
  • Scales seamlessly from a single compound to thousands of compounds

Requirements

Compound structures – as either SDF or SMILES file

Process

  • Send your compound structures to us
  • We will validate the structures, perform the predictions and return the predicted MRTD and PK parameter values to you

Results and Deliverables

Results are returned as a single file containing:

  • Columns of predicted MRTD, dose-normalised human oral AUC [(µg.h/ml)/(mk/kg)] and Cmax [(µg/ml)/(mk/kg)].
  • One row for each compound with predictions of rat and human PK parameters.

Q&A

The MRTD of a pharmaceutical is an upper daily dose limit beyond which a drug’s efficacy is not increased and/or undesirable adverse effects begin to outweigh beneficial effects. It is derived from long-term clinical studies (generally 3–12 months) using multiple treatment doses and a placebo control group.

What are the benefits of using Cyprotex’s virtual MRTD prediction?

The predicted MRTD supports the determination of whether a safe dose regime is likely to be accessible, given a compound’s pharmacological activity and pharmacokinetics. As Cyprotex’s MRTD prediction requires only compound structure it can provide this guidance from the earliest stages of lead identification and lead optimization.

TODO

Cyprotex eStore

Order our services online.

Visit the Cyprotex eStore
Simon Thomas Ph D Cyprotex

Simon Thomas, PhD

Head of Modelling and Simulation, Cyprotex

vCard
Logo Cyprotex white
Cyprotex enables and enhances the prediction of human exposure, clinical efficacy and toxicological outcome of a drug or chemical. By combining quality data from robust in vitro methods with contemporary in silico technology, we add value, context and relevance to the ADME-Tox data supplied to our partners in the pharmaceutical or chemical industries.