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Michael Terribilini

Showing results (1-10 of 9) with videos related to

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Applied Biochemistry and Biotechnology|July 13, 2007
Substrate specificity of streptomyces transglutaminasesJames Langston, Alexander Blinkovsky, Tony Byun, et al.
Ecology and Evolution|August 27, 2025
Genetic Analysis of Recently Discovered Least Chub Populations in the Upper Snake River and Bonneville DrainagesEric J Billman, Michael Terribilini, Cody Smith, et al.
BMC Bioinformatics|May 23, 2006
Predicting DNA-binding sites of proteins from amino acid sequenceChanghui Yan, Michael Terribilini, Feihong Wu, et al.
RNA (New York, N.Y.)|June 23, 2006
Prediction of RNA binding sites in proteins from amino acid sequenceMichael Terribilini, Jae-Hyung Lee, Changhui Yan, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|November 11, 2006
Identifying interaction sites in "recalcitrant" proteins: predicted protein and RNA binding sites in rev proteins of HIV-1 and EIAV agree with experimental dataMichael Terribilini, Jae-Hyung Lee, Changhui Yan, et al.
Nucleic Acids Research|November 13, 2010
PRIDB: a Protein-RNA interface databaseBenjamin A Lewis, Rasna R Walia, Michael Terribilini, et al.
Nucleic Acids Research|May 8, 2007
RNABindR: a server for analyzing and predicting RNA-binding sites in proteinsMichael Terribilini, Jeffry D Sander, Jae-Hyung Lee, et al.
BMC Bioinformatics|May 12, 2012
Protein-RNA interface residue prediction using machine learning: an assessment of the state of the artRasna R Walia, Cornelia Caragea, Benjamin A Lewis, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|January 31, 2008
Striking similarities in diverse telomerase proteins revealed by combining structure prediction and machine learning approachesJae-Hyung Lee, Michael Hamilton, Colin Gleeson, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Applied Biochemistry and Biotechnology|July 13, 2007
Substrate specificity of streptomyces transglutaminasesJames Langston, Alexander Blinkovsky, Tony Byun, et al.
Ecology and Evolution|August 27, 2025
Genetic Analysis of Recently Discovered Least Chub Populations in the Upper Snake River and Bonneville DrainagesEric J Billman, Michael Terribilini, Cody Smith, et al.
BMC Bioinformatics|May 23, 2006
Predicting DNA-binding sites of proteins from amino acid sequenceChanghui Yan, Michael Terribilini, Feihong Wu, et al.
RNA (New York, N.Y.)|June 23, 2006
Prediction of RNA binding sites in proteins from amino acid sequenceMichael Terribilini, Jae-Hyung Lee, Changhui Yan, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|November 11, 2006
Identifying interaction sites in "recalcitrant" proteins: predicted protein and RNA binding sites in rev proteins of HIV-1 and EIAV agree with experimental dataMichael Terribilini, Jae-Hyung Lee, Changhui Yan, et al.
Nucleic Acids Research|November 13, 2010
PRIDB: a Protein-RNA interface databaseBenjamin A Lewis, Rasna R Walia, Michael Terribilini, et al.
Nucleic Acids Research|May 8, 2007
RNABindR: a server for analyzing and predicting RNA-binding sites in proteinsMichael Terribilini, Jeffry D Sander, Jae-Hyung Lee, et al.
BMC Bioinformatics|May 12, 2012
Protein-RNA interface residue prediction using machine learning: an assessment of the state of the artRasna R Walia, Cornelia Caragea, Benjamin A Lewis, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|January 31, 2008
Striking similarities in diverse telomerase proteins revealed by combining structure prediction and machine learning approachesJae-Hyung Lee, Michael Hamilton, Colin Gleeson, et al.
Pageof 1