Blackfield Announces Fourth Major Pharmaceutical Company Collaboration
News Jul 09, 2013
Under the terms of the agreement, Blackfield will apply its genomics technologies and computational biology capabilities to validate preclinical models in support of one of AstraZeneca’s oncology drug development programs. The collaboration with AstraZeneca marks Blackfield’s fourth partnership with a major pharmaceutical company within one year of starting up. Earlier this year Blackfield entered service agreements with Janssen Pharmaceuticals, Inc. (a division of Johnson & Johnson), Merck KGaA and Boehringer Ingelheim.
Professor Roman Thomas, Blackfield’s Scientific Director said: “We are pleased to help AstraZeneca make more informed decisions in the clinical stage of their compound development. By applying our unique background in genomics, cancer medicine, and computational biology, Blackfield mines genomic information to support our clients in developing targeted cancer therapies. We are delighted that Blackfield’s position as a preferred scientific partner for global pharma companies has been confirmed this quickly. It demonstrates that our science-driven partnering approach that leverages genome analysis and oncology experience to offer expertise from one source is of highest value to the pharmaceutical industry.”
Hay Fever Risk Genes Overlap with Autoimmune DiseaseNews
In a large international study involving almost 900,000 participants, researchers from the University of Copenhagen and COPSAC have found new risk genes for hay fever. It is the largest genetic study so far on this type of allergy, which affects millions of people around the world.READ MORE
Hidden Signals in RNAs Regulate Protein SynthesisNews
Scientists have long known that RNA encodes instructions to make proteins. In a new study published in Nature, scientists describe how the protein-making machinery identifies alternative initiation sites from which to start protein synthesis.READ MORE
ExPecto Patronum! Magical Machine Learning Tool Summons DNA Dark Matter DataNews
A new machine learning framework, dubbed ExPecto, can predict the effects of mutations in the so-called “dark matter” regions of the human genome. ExPecto pinpoints how mutations can disrupt the way genes turn on and off throughout your body.