Design and Synthesis of a Monofluoro-Substituted Aromatic Amino Acid as a Conformationally Restricted19F NMR ­Label for Membrane-Bound Peptides

2014 ◽  
Vol 2014 (17) ◽  
pp. 3584-3591 ◽  
Author(s):  
Anton N. Tkachenko ◽  
Pavel K. Mykhailiuk ◽  
Dmytro S. Radchenko ◽  
Oleg Babii ◽  
Sergii Afonin ◽  
...  
Keyword(s):  
Amino Acid ◽  
Aromatic Amino Acid ◽  
Design And Synthesis ◽  
Membrane Bound

Design and synthesis of a targeted set of aromatic amino acid derivatives for identification of new lead compounds

1997 ◽  
Vol 7 (15) ◽  
pp. 1957-1962 ◽  
Author(s):  
D.C. Horwell ◽  
C.O. Kneen ◽  
M.C. Pritchard ◽  
G.S. Ratcliffe ◽  
E. Roberts ◽  
...  
Keyword(s):  
Amino Acid ◽  
Aromatic Amino Acid ◽  
Amino Acid Derivatives ◽  
Design And Synthesis ◽  
Lead Compounds

ChemInform Abstract: Design and Synthesis of a Targeted Set of Aromatic Amino Acid Derivatives for Identification of New Lead Compounds (I)-(III).

ChemInform ◽  
2010 ◽  
Vol 28 (49) ◽  
pp. no-no
Author(s):  
D. C. HORWELL ◽  
C. O. KNEEN ◽  
M. C. PRITCHARD ◽  
G. S. RATCLIFFE ◽  
E. ROBERTS ◽  
...  
Keyword(s):  
Amino Acid ◽  
Aromatic Amino Acid ◽  
Amino Acid Derivatives ◽  
Design And Synthesis ◽  
Lead Compounds

Predicting the Strength of Stacking Interactions Between Heterocycles and Aromatic Amino Acid Side Chains

2019 ◽  
Author(s):  
Andrea N. Bootsma ◽  
Analise C. Doney ◽  
Steven Wheeler
Keyword(s):  
Amino Acid ◽  
Binding Sites ◽  
Aromatic Amino Acid ◽  
Aromatic Amino Acids ◽  
Biologically Active ◽  
Side Chains ◽  
Stacking Interactions ◽  
Inhibitor Binding ◽  
Protein Binding Sites ◽  
Amino Acid Side Chains

<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>

Self-assembling behaviour of a modified aromatic amino acid in competitive medium

Soft Matter ◽  
2020 ◽  
Vol 16 (28) ◽  
pp. 6599-6607 ◽  
Author(s):  
Pijush Singh ◽  
Souvik Misra ◽  
Nayim Sepay ◽  
Sanjoy Mondal ◽  
Debes Ray ◽  
...  
Keyword(s):  
Amino Acid ◽  
Self Assembly ◽  
Aromatic Amino Acid ◽  
Photophysical Properties ◽  
Solvent Mixture ◽  
The Self ◽  
Solvent Ratio ◽  
Self Assembling

The self-assembly and photophysical properties of 4-nitrophenylalanine (4NP) are changed with the alteration of solvent and final self-assembly state of 4NP in competitive solvent mixture and are dictated by the solvent ratio.

scholarly journals Studies on Aromatic Amino Acid Uptake by Rat Brain in Vivo

1962 ◽  
Vol 237 (3) ◽  
pp. 803-806
Author(s):  
Gordon Guroff ◽  
Sidney Udenfriend
Keyword(s):  
Amino Acid ◽  
Rat Brain ◽  
Aromatic Amino Acid ◽  
Amino Acid Uptake ◽  
Acid Uptake
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