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Charles W Carter

Showing results (11-20 of 76) with videos related to

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RNA Biology|November 24, 2015
tRNA acceptor-stem and anticodon bases embed separate features of amino acid chemistryCharles W Carter, Richard Wolfenden
Journal of Molecular Biology|September 5, 2006
Computational studies of tryptophanyl-tRNA synthetase: activation of ATP by induced-fitMaryna Kapustina, Charles W Carter
Proceedings of the National Academy of Sciences of the United States of America|June 3, 2015
tRNA acceptor stem and anticodon bases form independent codes related to protein foldingCharles W Carter, Richard Wolfenden
Journal of the American Chemical Society|January 5, 2008
Mg2+-free Bacillus stearothermophilus tryptophanyl-tRNA synthetase retains a major fraction of the overall rate enhancement for tryptophan activationVioletta Weinreb, Charles W Carter
Bioinformatics (Oxford, England)|February 5, 2010
Six Rossmannoid folds, including the Class I aminoacyl-tRNA synthetases, share a partial core with the anti-codon-binding domain of a Class II aminoacyl-tRNA synthetaseStephen Cammer, Charles W Carter
The Journal of Biological Chemistry|October 22, 2013
Full implementation of the genetic code by tryptophanyl-tRNA synthetase requires intermodular couplingLi Li, Charles W Carter
Molecular Biology and Evolution|October 28, 2017
Interdependence, Reflexivity, Fidelity, Impedance Matching, and the Evolution of Genetic CodingCharles W Carter, Peter R Wills
Nucleic Acids Research|July 18, 2018
Hierarchical groove discrimination by Class I and II aminoacyl-tRNA synthetases reveals a palimpsest of the operational RNA code in the tRNA acceptor-stem basesCharles W Carter, Peter R Wills
International Journal of Molecular Sciences|October 10, 2020
Impedance Matching and the Choice Between Alternative Pathways for the Origin of Genetic CodingPeter R Wills, Charles W Carter
Structural Dynamics (Melville, N.Y.)|March 15, 2017
Augmenting the anisotropic network model with torsional potentials improves PATH performance, enabling detailed comparison with experimental rate dataSrinivas Niranj Chandrasekaran, Charles W Carter
Pageof 8

Showing results (11-20 of 76) with videos related to

Sort By:
Pageof 8
RNA Biology|November 24, 2015
tRNA acceptor-stem and anticodon bases embed separate features of amino acid chemistryCharles W Carter, Richard Wolfenden
Journal of Molecular Biology|September 5, 2006
Computational studies of tryptophanyl-tRNA synthetase: activation of ATP by induced-fitMaryna Kapustina, Charles W Carter
Proceedings of the National Academy of Sciences of the United States of America|June 3, 2015
tRNA acceptor stem and anticodon bases form independent codes related to protein foldingCharles W Carter, Richard Wolfenden
Journal of the American Chemical Society|January 5, 2008
Mg2+-free Bacillus stearothermophilus tryptophanyl-tRNA synthetase retains a major fraction of the overall rate enhancement for tryptophan activationVioletta Weinreb, Charles W Carter
Bioinformatics (Oxford, England)|February 5, 2010
Six Rossmannoid folds, including the Class I aminoacyl-tRNA synthetases, share a partial core with the anti-codon-binding domain of a Class II aminoacyl-tRNA synthetaseStephen Cammer, Charles W Carter
The Journal of Biological Chemistry|October 22, 2013
Full implementation of the genetic code by tryptophanyl-tRNA synthetase requires intermodular couplingLi Li, Charles W Carter
Molecular Biology and Evolution|October 28, 2017
Interdependence, Reflexivity, Fidelity, Impedance Matching, and the Evolution of Genetic CodingCharles W Carter, Peter R Wills
Nucleic Acids Research|July 18, 2018
Hierarchical groove discrimination by Class I and II aminoacyl-tRNA synthetases reveals a palimpsest of the operational RNA code in the tRNA acceptor-stem basesCharles W Carter, Peter R Wills
International Journal of Molecular Sciences|October 10, 2020
Impedance Matching and the Choice Between Alternative Pathways for the Origin of Genetic CodingPeter R Wills, Charles W Carter
Structural Dynamics (Melville, N.Y.)|March 15, 2017
Augmenting the anisotropic network model with torsional potentials improves PATH performance, enabling detailed comparison with experimental rate dataSrinivas Niranj Chandrasekaran, Charles W Carter
Pageof 8