O2h signs agreement to provide chemistry, ADME services to Phytopharm

Executives from Phytopharm Plc (Huntingdon,UK) signed an agreement with O2h (Cambridge, UK, Ahmedabad, India) under which O2h will provide chemistry and ADME services to support drug discovery initiatives at Phytopharm.

Tim Sharpington, CEO of Phytopharm said "I have known O2h for a number of years and am aware of their extensive experience of providing chemistry and ADME support to virtual companies around the world. I look forward to this opportunity of working with them to advance our drug discovery pipeline."

"O2h has its roots in Cambridge, UK and has grown with support from the UK biotech sector to help accelerate drug discovery efforts of companies in USA, EU and Japan. It is our privilege to work with the experienced team led by Tim Sharpington, at Phytopharm." - Sunil Shah, CEO, O2h.

Source:

O2h

Posted in:

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

Sign in to keep reading

We're committed to providing free access to quality science. By registering and providing insight into your preferences you're joining a community of over 1m science interested individuals and help us to provide you with insightful content whilst keeping our service free.

or

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Machine learning advances drug discovery through generalizable models