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Proceedings of the National Academy of Sciences of the United States of America
|
April 12, 2011
Large-scale characterization of peptide-MHC binding landscapes with structural simulations
Chen Yanover, Philip Bradley
BMC Bioinformatics
|
May 26, 2006
PepDist: a new framework for protein-peptide binding prediction based on learning peptide distance functions
Tomer Hertz, Chen Yanover
Proteins
|
November 13, 2008
Accurate prediction for atomic-level protein design and its application in diversifying the near-optimal sequence space
Menachem Fromer, Chen Yanover
Bioinformatics (Oxford, England)
|
July 1, 2008
A computational framework to empower probabilistic protein design
Menachem Fromer, Chen Yanover
Nucleic Acids Research
|
February 24, 2011
Extensive protein and DNA backbone sampling improves structure-based specificity prediction for C2H2 zinc fingers
Chen Yanover, Philip Bradley
Bioinformatics (Oxford, England)
|
January 24, 2007
Identifying HLA supertypes by learning distance functions
Tomer Hertz, Chen Yanover
Proteins
|
October 21, 2009
Design of multispecific protein sequences using probabilistic graphical modeling
Menachem Fromer, Chen Yanover, Michal Linial
Plos One
|
October 27, 2010
Inferring PDZ domain multi-mutant binding preferences from single-mutant data
Elena Zaslavsky, Philip Bradley, Chen Yanover
Bioinformatics (Oxford, England)
|
February 19, 2009
M are better than one: an ensemble-based motif finder and its application to regulatory element prediction
Chen Yanover, Mona Singh, Elena Zaslavsky
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|
August 19, 2008
Minimizing and learning energy functions for side-chain prediction
Chen Yanover, Ora Schueler-Furman, Yair Weiss
Page
of 5
Search research articles
Search
Showing results (1-10 of 45) with videos related to
Sort By:
Page
of 5
Proceedings of the National Academy of Sciences of the United States of America
|
April 12, 2011
Large-scale characterization of peptide-MHC binding landscapes with structural simulations
Chen Yanover, Philip Bradley
BMC Bioinformatics
|
May 26, 2006
PepDist: a new framework for protein-peptide binding prediction based on learning peptide distance functions
Tomer Hertz, Chen Yanover
Proteins
|
November 13, 2008
Accurate prediction for atomic-level protein design and its application in diversifying the near-optimal sequence space
Menachem Fromer, Chen Yanover
Bioinformatics (Oxford, England)
|
July 1, 2008
A computational framework to empower probabilistic protein design
Menachem Fromer, Chen Yanover
Nucleic Acids Research
|
February 24, 2011
Extensive protein and DNA backbone sampling improves structure-based specificity prediction for C2H2 zinc fingers
Chen Yanover, Philip Bradley
Bioinformatics (Oxford, England)
|
January 24, 2007
Identifying HLA supertypes by learning distance functions
Tomer Hertz, Chen Yanover
Proteins
|
October 21, 2009
Design of multispecific protein sequences using probabilistic graphical modeling
Menachem Fromer, Chen Yanover, Michal Linial
Plos One
|
October 27, 2010
Inferring PDZ domain multi-mutant binding preferences from single-mutant data
Elena Zaslavsky, Philip Bradley, Chen Yanover
Bioinformatics (Oxford, England)
|
February 19, 2009
M are better than one: an ensemble-based motif finder and its application to regulatory element prediction
Chen Yanover, Mona Singh, Elena Zaslavsky
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|
August 19, 2008
Minimizing and learning energy functions for side-chain prediction
Chen Yanover, Ora Schueler-Furman, Yair Weiss
Page
of 5