Skip to content
intellegens logo
  • Home
  • Products
    • Alchemite™ Analytics
    • Alchemite™ Engine
    • Alchemite™ Success
    • Ichnite™
    • Integration partnerships
    • How to Buy
  • Applications
    • Materials & Chemicals
    • Life Sciences
    • Manufacturing Industries
    • Data Science
    • Academic Research
    • All Featured Applications
  • Events
    • Webinars
    • All upcoming Events
  • Resources
    • White Papers
    • Case Studies
    • Publications
    • Intellegens Blog
    • Latest News
    • Newsletter
    • FAQs
  • About
    • About Intellegens
    • Our Technology
    • Careers
    • Our Team
  • Contact
Menu
  • Home
  • Products
    • Alchemite™ Analytics
    • Alchemite™ Engine
    • Alchemite™ Success
    • Ichnite™
    • Integration partnerships
    • How to Buy
  • Applications
    • Materials & Chemicals
    • Life Sciences
    • Manufacturing Industries
    • Data Science
    • Academic Research
    • All Featured Applications
  • Events
    • Webinars
    • All upcoming Events
  • Resources
    • White Papers
    • Case Studies
    • Publications
    • Intellegens Blog
    • Latest News
    • Newsletter
    • FAQs
  • About
    • About Intellegens
    • Our Technology
    • Careers
    • Our Team
  • Contact

Predicting pharmacokinetics with Optibrium and AstraZeneca

  • Intellegens Case Studies, Intellegens news, Publications
  • in: Drug Discovery, Small Molecule

Paper published in Molecular Pharmaceutics

“The use of artificial intelligence is going to really be a significant advance on our ability to select compounds.”

Nigel Greene, Director of Data Science & AI, AstraZeneca

Key outcomes

    • Alchemite™ successfully combined descriptors, in silico, and in vitro data to predict PK parameters and curves.
    • Results were comparable to the best results in the literature and a variety of in-house AZ methods.
    • Direct prediction of i.v. curves was particularly accurate.
    • This work can reduce time, cost, and number of animal studies in late-stage drug discovery.

Summary

Pharmacokinetics (PK) describes how the body affects a drug after administration. The concentration-time profile of a compound reflects its exposure, duration of action, safety margin and other critical factors affecting the success of a potential drug.

Accurate predictions of PK would enable better decisions regarding the selection of compounds for in vivo studies, reducing the number of experiments required, the associated costs, and the number of animal studies needed. But, this is particularly challenging because in vivo PK is influenced by many biological mechanisms.

This problem has been the focus of a project involving Optibrium and AstraZeneca, in which the Alchemite™ method was successfully applied to the prediction of PK parameters, based on compound structure and sparse in vitro data. The work has now been published in Molecular Pharmaceutics, and also formed the basis of an Optibrium webinar.

Publication and webinar details

Published in: Molecular Pharmaceutics 19, 5, 1488-1504 (2022)

Title: Prediction of In Vivo Pharmacokinetic Parameters and Time–Exposure Curves in Rats Using Machine Learning from the Chemical Structure

Authors: Olga Obrezanova, Anton Martinsson, Tom Whitehead, Samar Mahmoud, Andreas Bender, Filip Miljković, Piotr Grabowski, Ben Irwin, Ioana Oprisiu, Gareth Conduit, Matthew Segall, Graham F. Smith, Beth Williamson, Susanne Winiwarter, and Nigel Greene (AstraZeneca, Optibrium, Intellegens).

Link: https://doi.org/10.1021/acs.molpharmaceut.2c00027

REQUEST ACCESS TO PUBLICATION

This work was the subject of a webinar hosted by Optibrium, with speakers from AstraZeneca and Intellegens.

VIEW RECORDED WEBINAR (at OPTIBRIUM.COM)

Related information

  • Alchemite™ for drug discovery
  • Intellegens small molecule drug discovery partner – Optibrium

Company number : 10591395 | Vat number: 267525774
Address: The Studio, Chesterton Mill, Cambridge, United Kingdom, CB4 3NP
Privacy policy

Copyright 2023 Intellegens Limited – All rights reserved
Linkedin Twitter

Search...