scholarly journals Tetrahydrofuranyl and tetrahydropyranyl protection of amino acid side-chains enables synthesis of a hydroxamate-containing aminoacylated tRNA

2015 ◽  
Vol 13 (8) ◽  
pp. 2341-2349
Author(s):  
Lester J. Lambert ◽  
Marvin J. Miller ◽  
Paul W. Huber

O-protection using tetrahydrofuranyl or tetrahydropyranyl enabled addition of a hydroxamate-containing unnatural amino acid to a suppressor tRNA, allowing subsequent site-specific incorporation of the amino acid into the transcription factor, TFIIIA.

1996 ◽  
Vol 5 (6) ◽  
pp. 1026-1031 ◽  
Author(s):  
Richard Wynn ◽  
Paul C. Harkins ◽  
Frederic M. Richards ◽  
Robert O. Fox

2005 ◽  
Vol 280 (16) ◽  
pp. 16115-16124 ◽  
Author(s):  
Kristina L. Brady ◽  
David R. Setzer

Others (Foster, M. P., Wuttke, D. S., Radhakrishnan, I., Case, D. A., Gottesfeld, J. M., and Wright, P. E. (1997)Nat. Struct. Biol.4, 605–608; Wuttke, D. S., Foster, M. P., Case, D. A., Gottesfeld, J. M., and Wright, P. E. (1997)J. Mol. Biol.273, 183–206) have proposed that several amino acid side chains exhibit considerable conformational mobility at the DNA-protein interface in the transcription factor IIIA·5 S rRNA gene complex and that the rapid movements of these side chains permit them to make fluctuating contacts with adjacent bp in the DNA target site. This “dynamic interface” model makes biochemical predictions concerning the consequences of truncating specific amino acid side chains and the effects of these truncations on sequence selectivity in DNA binding. The model also makes predictions concerning the effects of DNA sequence context on the apparent energetic contributions to binding made by individual bp. We have tested these predictions, and our results are inconsistent with any significant energetic role being played by the contact of multiple bp by conformationally mobile amino acid side chains. They do, however, show that some individual amino acids affect the recognition of multiple bp through mechanisms other than direct interaction.


2019 ◽  
Author(s):  
Andrea N. Bootsma ◽  
Analise C. Doney ◽  
Steven Wheeler

<p>Despite the ubiquity of stacking interactions between heterocycles and aromatic amino acids in biological systems, our ability to predict their strength, even qualitatively, is limited. Based on rigorous <i>ab initio</i> data, we have devised a simple predictive model of the strength of stacking interactions between heterocycles commonly found in biologically active molecules and the amino acid side chains Phe, Tyr, and Trp. This model provides rapid predictions of the stacking ability of a given heterocycle based on readily-computed heterocycle descriptors. We show that the values of these descriptors, and therefore the strength of stacking interactions with aromatic amino acid side chains, follow simple predictable trends and can be modulated by changing the number and distribution of heteroatoms within the heterocycle. This provides a simple conceptual model for understanding stacking interactions in protein binding sites and optimizing inhibitor binding in drug design.</p>


Author(s):  
luis camacho III ◽  
Bryan J. Lampkin ◽  
Brett VanVeller

We describe a method to protect the sensitive stereochemistry of the thioamide—in analogy to the protection of the functional groups of amino acid side chains—in order to preserve the thioamide moiety during peptide elongation.<br>


2015 ◽  
Vol 108 (2) ◽  
pp. 64a ◽  
Author(s):  
Deguo Du ◽  
Haiyang Liu ◽  
Richard Lantz ◽  
Patrick Cosme ◽  
Andrew C. Terentis ◽  
...  

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