Innovation

A score function for predicting relative thermostability of proteins

University of Kansas
posted on 08/25/2009

This invention is a novel computer algorithm which can be used to predict the relative stability of proteins. It can be used to identify protein mutants which have higher thermostability. Thus it can be used in many industries including pharmaceutical, biotechnology, bioenergy, biomaterial, etc. KU is willing to enter into a Confidential Disclosure Agreement for the purpose of negotiating a License Agreement. If you are interested in learning details of this invention, please contact: James G. Baxendale Executive Director, Technology Transfer & Intellectual Property at: jbaxendale@ku.edu Or Christopher Zien, Ph.D. Licensing Associate, Technology Transfer & Intellectual Property at: czien@ku.edu Updated: August 25, 2009

Suggested Uses

The invention is a novel computer algorithm which can be used to predict the relative thermostability of proteins.

Advantages

Literately the algorithm can be used in any industries where proteins are used and the stability of these proteins are an issue. Thus the algorithm should find broad applications in pharmaceutical, bioenergy, biomaterial and perhaps many other industries. The following are just some examples of possible applications: Can be applied in developing stable vaccines which have long shelf life and may even don't require refrigeration. Can be used to improve the stability of industrial enzymes used in biotranformation procedures such as for drug intermediates, biomaterials, etc. Can be used to stabilize the enzymes used in bioenergy section, such as those used to break cellulose down to simple sugars and then to alcohols; or tranform sunlight to electric using enzymes catalyzed reactions. Can be applied in stabilizing the enzymes used in household products such as detergents, etc.. The more stable enzymes have longer shelf life and can be used in higher temperatures.

Innovation Details
 

File Number: 09KU096L 


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This innovation currently is not available for online licensing. Please contact Chris Zien at University of Kansas for more information.

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February 11, 2009

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