Optibrium Appoints Dr Nathan Brown as Director of Science
Newly created role underscores commitment to customer-driven research and scientific excellence CAMBRIDGE, UK, 13 January 2026 – Optibrium, a leading developer of software and AI…
Newly created role underscores commitment to customer-driven research and scientific excellence CAMBRIDGE, UK, 13 January 2026 – Optibrium, a leading developer of software and AI…
Latest release accelerates hit-to-candidate progression by keeping teams aligned, eliminating inefficiencies and enabling better prioritisation decisions CAMBRIDGE, UK, 04 November…
Proceeds will accelerate Optibrium’s product development and expand the global reach of its computational chemistry and AI-driven discovery technology. CAMBRIDGE,…
The research will focus on developing faster and more accurate methods for predicting drug metabolism. CAMBRIDGE, UK, 02 July 2025…
New PyMOL interface extends access to Optibrium’s structure-based design method Surflex-Dock CAMBRIDGE, UK, 04 February 2025 – Optibrium, a leading…
CAMBRIDGE, UK, 22 October 2024 – Optibrium, a leading developer of software and AI solutions for molecular design today announced…
The joint ISSX/JSSX meeting is for researchers looking to gain a deeper understanding of drug metabolism and pharmacokinetics.
The Chemical Information & Computer Applications Group (CICAG) and Biological & Medicinal Chemistry Sector (BMCS) of the Royal Society of Chemistry are once again organising a conference to present the current advances in AI and machine learning in Chemistry.
Join Optibrium during a full program of summer events showcasing our Cerella platform.
Join Daniel Barr to hear more about how deep learning imputation prioritises the most relevant data, accounts for uncertainty, and guides experiment selection to bring additional value to small molecule discovery.
Join Optibrium’s Chris Khoury at the 38th NMCS meeting in Seattle, 23-26 June
CAMBRIDGE, UK and CAMBRIDGE, US 14 May 2024 – Optibrium, a leading developer of software and AI solutions for drug…
Peer-reviewed study published in Xenobiotica describes an innovative new method that predicts the routes and products of Phase I and II metabolism with high sensitivity and greater precision than
other approaches
Establishment of Optibrium Inc. bolsters ongoing strategic Company growth and strenghtens direct US customer support. Dr Tamsin Mansley promoted to President of Optibrium Inc. to lead growing US-based team and business operations.
Backed by six years’ research, the new StarDrop Metabolism module combines quantum mechanics and machine learning to better predict the metabolic fate of drug candidates.
Michelle Harrison appointed as Head of Strategic Marketing; Chris Khoury and Imran Ghauri join to boost Optibrium’s business development team. UK and US-based appointments with proven AI and life science expertise will support the next phase of commercial growth for Optibrium’s computational drug discovery technologies.
New role will lead technology development as the Company continues to scale team and global business operations. Appointment of former Merck, Sharp and Dohme (MSD) Director of R&D Analytics supports continued innovation of Optibrium’s AI drug discovery software.
Second round of funding from existing investors will further drive company expansion and commercial growth of its AI-enabled drug discovery technology.
Out now in Drug Target Review, Optibrium’s Director of Computational Chemistry, Dr Peter Hunt discusses why early in silico metabolism prediction is crucial…