Oxidative damage to the glycyl α-carbon site in proteins: an ab initio study of the C—H bond dissociation energy and the reduction potential of the C-centered radical

1996 ◽  
Vol 74 (6) ◽  
pp. 1192-1199 ◽  
Author(s):  
D.A. Armstrong ◽  
D. Yu ◽  
A. Rauk

The C—H bond dissociation energies (DC—H) of a series of model glycyl proteins were derived from selected isodesmic reactions based on high level ab initio calculations. At 298 K, the recommended values of DC—H, in kJ mol−1 are: NH2CH2CHO, 308; NH2CH2C(O)NH2, 336; HC(O)NHCH2CHO, 331; HC(O)NHCH2C(O)NH2, 350; CH3C(O)NHCH2C(O)NH2, 347; HC(O)NHCH2C(O)NHCH3, 349; and CH3C(O)NHCH2C(O)NHCH3, 346. The average of the last four values, 348 kJ mol−1, is the predicted bond dissociation energy of the α-C—H bond of a glycyl protein. The reduction potential in aqueous medium at 298 K and pH 7 for the process, R• + H+ + e− = RH, where R• = XNHCH•C(O)Y and X and Y represent extension of the protein chain, is E0′ 0.8 V. This result suggests that the α-C—H bond of a glycyl protein is susceptible to attack by RS•, ROO•, tyrosyl, and OH• radicals, whose reduction potentials for the analogous process are higher. The present study has established that the molecule HC(O)NHCHRC(O)NH2 (R = an amino acid side chain) serves as an accurate model for the α-C environment of an amino acid residue in a protein, and that a reliable DC—H value for the α-C—H bond may be obtained from calculations on this model at the B3LYP/6-31G(D) level of theory in conjunction with an isodesmic reaction using neutral glycine as reference. Key words: glycine, peptide, amino acid, bond energy, radicals, ab initio, computation.

1998 ◽  
Vol 76 (7) ◽  
pp. 1042-1049 ◽  
Author(s):  
D A Block ◽  
D Yu ◽  
D A Armstrong ◽  
A Rauk

Ab initio computations (B3LYP/6-31G(D), coupled with isodesmic reactions) were used to predict αC→H bond dissociation energies (BDEs) for proline as a residue in a model peptide, intended to mimic the environment in proteins. The environment was further constrained to mimic common proline positions in turns of different types. The BDEs were found to be very dependent on the structural constraints imposed by the turn type, implying different structure-mediated susceptibilities to free radical damage to proline residues. Unnatural repair of proline (inversion of chirality) was found to be thermodynamically unfavourable. The predicted BDEs for the proline αC→H bond, in kJ mol-1, to an estimated accuracy of ±10 kJ mol-1 are as follows: fully optimized trans rotamer, 368.6; fully optimized cis rotamer, 357.7; ß turn type I, 380.7; ß turn type II, 397.8; ß turn type II', 385.4; ß turn type VIa, 374.0; ß turn type VIb, 355.0. Key words: proline, ß -turns, free radical, bond dissociation energy, molecular structure, oxidative damage.<


2011 ◽  
Vol 76 (5) ◽  
pp. 605-618
Author(s):  
Vojtěch Klusák ◽  
Petr Dobeš ◽  
Jiří Černý ◽  
Jiří Vondrášek

To determine reasonably which amino acid side chain contributes significantly to the stability of a protein or to the stability of a protein–ligand complex is not a straightforward task. We suggest a partial but systematic solution of the problem by a specific fragmentation of a protein chain into blocks of single amino acid side chains with their corresponding backbone part. For such systems of building blocks, we have calculated the stabilisation/interaction energies by means of correlated ab initio calculations. We have shown that a reasonable way to treat an amino-acid residue composing the protein is to break the homonuclear C–C bond between the Cα atom and the C(O) carboxyl carbon. The reference data obtained by the RI-MP2 method with the cc-pVDZ basis set were compared with RIDFT, RIDFT augmented by the dispersion term, SCC-DFTB-D and Hartree–Fock calculations. The results clearly show the failure of those methods lacking an appropriate treatment of the correlation energy. The DFT methods augmented by the empirical dispersion term on the other hand describe the interaction in good agreement with the reference method.


2006 ◽  
Vol 424 (1-3) ◽  
pp. 42-45 ◽  
Author(s):  
Gabriel da Silva ◽  
Chiung-Chu Chen ◽  
Joseph W. Bozzelli

2013 ◽  
Vol 568-569 ◽  
pp. 14-20 ◽  
Author(s):  
Oleg V. Boyarkin ◽  
Maxim A. Koshelev ◽  
Oleg Aseev ◽  
Pavel Maksyutenko ◽  
Thomas R. Rizzo ◽  
...  

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