☰

Charles W. Carter, Ph.D

Affiliations: 
Biochemistry and Biophysics University of North Carolina, Chapel Hill, Chapel Hill, NC 
Google:
"Charles Carter"
Mean distance: 17.45
 
SNBCP
Cross-listing: Neurotree

Parents

Sign in to add mentor
Joseph Kraut grad student

Children

Sign in to add trainee
Sylvie Doublié grad student 1988-1993 UNC Chapel Hill
Yen B. Pham grad student 2010 UNC Chapel Hill (Neurotree)

Collaborators

Sign in to add collaborator
Lee G. Pedersen collaborator 1997-2001 UNC Chapel Hill
BETA: Related publications

Publications

You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Hobson JJ, Li Z, Hu H, et al. (2022) A Leucyl-tRNA Synthetase Urzyme: Authenticity of tRNA Synthetase Catalytic Activities and Promiscuous Phosphorylation of Leucyl-5'AMP. International Journal of Molecular Sciences. 23
Carter CW, Wills PR. (2019) Class I and II Aminoacyl-tRNA Synthetase tRNA Groove Discrimination Created the First Synthetase-tRNA Cognate Pairs and Was Therefore Essential to the Origin of Genetic Coding. Iubmb Life
Carter CW, Wills PR. (2019) Experimental Solutions to Problems Defining the Origin of Codon-Directed Protein Synthesis: Running Head: Whence the Genetic Code? Bio Systems. 103979
Li Z, Carter C. (2019) Aminoacyl-tRNA synthetases may have evolved from molten globular precursors Acta Crystallographica Section a Foundations and Advances. 75: a98-a98
Carter CW, Wills PR. (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 bases. Nucleic Acids Research
Carter CW, Wills PR. (2017) Interdependence, Reflexivity, Fidelity, Impedance Matching, and the Evolution of Genetic Coding. Molecular Biology and Evolution
Carter CW. (2017) Coding of Class I and II Aminoacyl-tRNA Synthetases. Advances in Experimental Medicine and Biology
Chandrasekaran SN, Carter CW. (2017) Augmenting the anisotropic network model with torsional potentials improves PATH performance, enabling detailed comparison with experimental rate data. Structural Dynamics (Melville, N.Y.). 4: 032103
Carter CW, Chandrasekaran SN, Weinreb V, et al. (2017) Combining multi-mutant and modular thermodynamic cycles to measure energetic coupling networks in enzyme catalysis. Structural Dynamics (Melville, N.Y.). 4: 032101
Sapienza PJ, Li L, Williams T, et al. (2016) An Ancestral Tryptophanyl-tRNA Synthetase Precursor Achieves High Catalytic Rate Enhancement Without Ordered Ground-State Tertiary Structures. Acs Chemical Biology
See more...