doi:10.1038/npre.2008.2207.1
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A Systematic Approach to Identifying Protein-Ligand Binding Profiles on a Proteome Scale

Li Xie1, Nancy Buchmeier2, Lei Xie3 & Philip Bourne4

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  1. Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego
  2. Department of Chemistry and Biochemistry, University of California, San Diego
  3. San Diego Supercomputer Center, University of California, San Diego
  4. Skaggs School of Pharmacy and Pharmaceutical Sciences and San Diego Supercomputer Center, University of California, San Diego
Document Type:
Manuscript
Date:
Received 19 August 2008 20:57 UTC; Posted 20 August 2008
Subjects:
Biotechnology, Bioinformatics
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Abstract:

Identification of protein-ligand interaction networks on a proteome scale is crucial to address a wide range of biological problems such as correlating molecular functions to physiological processes and designing safe and efficient therapeutics. We have developed a novel computational strategy to identify ligand binding profiles of proteins across gene families and applied it to predicting protein functions, elucidating molecular mechanisms of drug adverse effects, and repositioning safe pharmaceuticals to treat different diseases.

Collection:
AFP-Biosapiens 2008

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This document is licensed to the public under the Creative Commons Attribution 3.0 License
How to cite this document:

Xie, Li, Buchmeier, Nancy , Xie, Lei, and Bourne, Philip. A Systematic Approach to Identifying Protein-Ligand Binding Profiles on a Proteome Scale. Available from Nature Precedings <http://dx.doi.org/10.1038/npre.2008.2207.1> (2008)

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