Biotech Start-Up Nexomics Biosciences Gets Off the Ground
News Jan 22, 2009
Nexomics Biosciences Inc., a recently-formed, New Jersey-based biotechnology company, applies platform technologies based on large scale protein production, Nuclear Magnetic Resonance (NMR), and X-ray crystallography for use in drug discovery efforts.
The company provides customers with services in bioinformatics, protein production and structural biology for lead discovery, optimization and development programs. In addition, Nexomics Biosciences will also pursue in-house drug discovery projects on proprietary targets to identify novel small molecule therapeutics.
Nexomics Biosciences has signed a comprehensive license agreement with Rutgers, the State University of New Jersey, that provides Nexomics rights to a portfolio of intellectual property, including a suite of bioinformatics software and an early stage antibiotic screening methodology.
In addition, the agreement gives Nexomics rights to use and further develop a novel ribosomal RNA methyltransferase assay for identifying specific binding and inhibition of R1mA proteins from bacterial species. The invention has applications in control of bacterial gene expression, control of bacterial growth, antibacterial chemistry, and antibacterial therapy.
An additional agreement has been announced with the Center for Advanced Biotechnology and Medicine (CABM), a research and teaching center that provides Nexomics access to laboratory space and equipment. Under the service agreement, Nexomics Biosciences will have access to a number of scientific facilities supporting molecular biology, fermentation, protein purification, and Nuclear Magnetic Resonance (NMR).
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.
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A new synthetic enzyme, crafted from DNA rather than protein, flips lipid molecules within the cell membrane, triggering a signal pathway that could be harnessed to induce cell death in cancer cells. Researchers say their lipid-scrambling DNA enzyme is the first in its class to outperform naturally occurring enzymes – and does so by three orders of magnitudeREAD MORE
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.