Constrained De Novo Sequencing of Peptides with Application to Conotoxins

peer-reviewed · Lecture Notes in Computer Science · 2011

peer-reviewed · Lecture Notes in Computer Science · 2011. Swapnil Bhatia et al.
Date 2011-03-23
Type peer-reviewed
Venue Lecture Notes in Computer Science
Publisher Springer Berlin Heidelberg
Contribution algorithm
DOI 10.1007/978-3-642-20036-6_2
Citations (OpenAlex) 8
Venue 2-year citedness 1.54

Authors

  1. Swapnil Bhatia · Boston University, Palo Alto Research Center
  2. Yong J. Kil · Palo Alto Research Center, Protein Metrics (United States), Protein Metrics Inc.
  3. Beatrix Ueberheide · NYU Langone Medical Center, Rockefeller University
  4. Brian T. Chait · Rockefeller University
  5. Lemmuel L. Tayo · Mapua Institute of Technology, Mapúa University, University of the Philippines Diliman, University of the Philippines System
  6. Lourdes J. Cruz · University of the Philippines Diliman, University of the Philippines System
  7. Bingwen Lu · Pfizer (United States), Pfizer Inc., Princeton University, The Scripps Research Institute, University of Southern California
  8. John R. Yates · Princeton University, The Scripps Research Institute
  9. Marshall Bern · Palo Alto Research Center, Protein Metrics (United States), Protein Metrics Inc.

Methods and tools

  • Conovo: Constrained de novo sequencing algorithm for peptide families such as conotoxins.

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