Applying math and computers to the drug discovery process, researchers at Rensselaer Polytechnic Institute have developed a method to predict protein separation behavior directly from protein structure. This new multi-scale protein modeling approach may reduce the time it takes to bring pharmaceuticals to market and may have significant implications for an array of biotechnology applications, including bioprocessing, drug discovery, and proteomics, the study of protein structure and function.
“Predictive modeling is a new approach to drug discovery that takes information from lab analysis and concentrates it in predictive models that may be evaluated on a computer,” said Curt M. Breneman, professor of chemistry and chemical biology at Rensselaer.
“The ability to predict the separation behavior of a particular protein directly from its structure has considerable implications for biotechnology processes,” said Steven Cramer, professor of chemical and biological engineering at Rensselaer. “The research results thus far indicate that this modeling approach can be used to determine protein behavior for use in bioseparation applications, such as the protein purification methods used in drug discovery. This could potentially reduce the development time required to bring biopharmaceuticals to market.”
Tiffany Lohwater | EurekAlert!
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Fraunhofer Institute for Organic Electronics, Electron Beam and Plasma Technology FEP, provider of research and development services for OLED lighting solutions, announces the founding of the “OLED Licht Forum” and presents latest OLED design and lighting solutions during light+building, from March 18th – 23rd, 2018 in Frankfurt a.M./Germany, at booth no. F91 in Hall 4.0.
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Animal photoreceptors capture light with photopigments. Researchers from the University of Göttingen have now discovered that these photopigments fulfill an...
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