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Graph methods for protein-nucleotide interactions

Published: 20 September 2014 Publication History

Abstract

Protein-nucleotide interactions play important roles in many biological processes. The goal of our research is to develop computational methods to discovery patterns on protein structures that associated with the affinity and specificity of the protein-nucleotide interactions. These patterns can be used to predict nucleotide binding sites on protein structures and the binding affinity and will have profound impact on protein structure engineering. We develop graph representations to capture the distribution of features on protein surface and use graph kernels and other graph methods to discover the patterns associate with binding.

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cover image ACM Conferences
BCB '14: Proceedings of the 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics
September 2014
851 pages
ISBN:9781450328944
DOI:10.1145/2649387
  • General Chairs:
  • Pierre Baldi,
  • Wei Wang
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 September 2014

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Author Tags

  1. graph kernels
  2. prediction
  3. protein-nucleotide binding

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BCB '14
Sponsor:
BCB '14: ACM-BCB '14
September 20 - 23, 2014
California, Newport Beach

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Overall Acceptance Rate 254 of 885 submissions, 29%

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