Optibrium Appoints Director of Computational Chemistry
News Apr 29, 2014
This success is built on a growing, global customer base for Optibrium’s flagship product StarDrop™ within the pharmaceutical industry and its adoption in other chemistry fields including agrochemicals and cosmetics. Optibrium has also recently extended its product portfolio with the introduction of Asteris™, an iPad app that enables researchers to rapidly evaluate new compound ideas when and where they want.
Reflecting the growth in the business, Optibrium has expanded its R&D and operational teams to further accelerate the rate of product innovation and support its rapidly growing customer base. This has required the company to extend its facilities by 50%, less than two years after its last office expansion.
As part of the expansion of the R&D team, Dr Peter Hunt has joined as Director of Computational Chemistry. Peter joins Optibrium from Novartis, where he was Group Leader, Computer Aided Drug Discovery (CADD). Peter has over 25 years of experience in drug discovery, both in industry and academic research, having previously been CADD Group Leader at Merck and the 3D Centre in Australia. Peter will provide leadership on research efforts relating to Optibrium’s software and the EU funded HeCaToS project, and his extensive drug discovery experience will further support users of Optibrium’s software platforms.
Peter commented, “I am delighted to be joining Optibrium and contributing to the development of the StarDrop product and the research into hepatic and cardiac toxicity estimation funded through the EU. Having been a user of StarDrop for several years, I have been impressed by the usability and intuitive nature of the software and I hope to build on this as we bring new features to StarDrop and Optibrium’s growing product portfolio.”
Dr Matthew Segall, Optibrium’s CEO, added “We are very happy to welcome Peter to our team, which has maintained an impressive rate of innovation over the last 5 years as we expanded our customer base worldwide. The continued growth of Optibrium is a result of the team’s hard work and together we look forward to developing new solutions that will help scientists to improve the efficiency and productivity of drug discovery.”
Research Team Discovers Compound that Stops Cancer From SpreadingNews
Using a mouse model, OHSU physician-scientists lead effort to hone a drug that inhibits cancer cells from spreading to other areas in the body.READ MORE
Algorithm Speeds Up Medical Image Analysis 1000 TimesNews
Medical image registration is a common technique that involves overlaying two images, such as magnetic resonance imaging (MRI) scans, to compare and analyze anatomical differences in great detail. Researchers have described a machine-learning algorithm that can register brain scans and other 3-D images more than 1,000 times more quickly using novel learning techniques.
Antarctic Worm and Machine Learning Help Identify Cerebral Palsy EarlierNews
A research team has released a study in the peer-reviewed journal BMC Bioinformatics showing that DNA methylation patterns in circulating blood cells can be used to help identify spastic cerebral palsy (CP) patients. The technique which makes use of machine learning, data science and even analysis of Antarctic worms, raises hopes for earlier targeted CP therapies.