Peptide Backbone Effect on Hydration Free Energies of Amino Acid Side Chains

2014 ◽  
Vol 118 (46) ◽  
pp. 13162-13168 ◽  
Author(s):  
Timir Hajari ◽  
Nico F. A. van der Vegt
2008 ◽  
Vol 105 (46) ◽  
pp. 17636-17641 ◽  
Author(s):  
S. Vaitheeswaran ◽  
D. Thirumalai

Confinement effects on protein stability are relevant in a number of biological applications ranging from encapsulation in the cylindrical cavity of a chaperonin, translocation through pores, and structure formation in the exit tunnel of the ribosome. Consequently, free energies of interaction between amino acid side chains in restricted spaces can provide insights into factors that control protein stability in nanopores. Using all-atom molecular dynamics simulations, we show that 3 pair interactions between side chains—hydrophobic (Ala–Phe), polar (Ser–Asn) and charged (Lys–Glu)—are substantially altered in hydrophobic, water-filled nanopores, relative to bulk water. When the pore holds water at bulk density, the hydrophobic pair is strongly destabilized and is driven to large separations corresponding to the width and the length of the cylindrical pore. As the water density is reduced, the preference of Ala and Phe to be at the boundary decreases, and the contact pair is preferred. A model that accounts for the volume accessible to Phe and Ala in the solvent-depleted region near the pore boundary explains the simulation results. In the pore, the hydrogen-bonded interactions between Ser and Asn have an enhanced dependence on their relative orientations, as compared with bulk water. When the side chains of Lys and Glu are restrained to be side by side, parallel to each other, then salt bridge formation is promoted in the nanopore. Based on these results, we argue and demonstrate that for a generic amphiphilic sequence, cylindrical confinement is likely to enhance thermodynamic stability relative to the bulk.


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>


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