Statistical studies of flexible nonhomogeneous polypeptide chains.
Unfolded proteins attract increasing attention nowadays because of the accumulation of experimental evidence that they play an important role in different biological processes. Therefore, studies of various statistical properties of flexible protein-like polypeptide chains are becoming increasingly important as well. This paper presents distributions (histograms) of distances between atoms of titratable residues for flexible polypeptide chains with various residue compositions and with the hard-spheres potential taken into consideration. The factors influencing the parameters of the obtained histograms have been identified and analyzed. It was found that the sensitivity of the distributions with respect to the internal structure of intermediate residues increases with the number of residues between the considered charged residues. It was shown that branching at C(beta) atoms of the side chains of the intermediate residues is among the most considerable factors influencing the shape of the distance distribution and the average distance between atoms in flexible chains. Despite the model simplicity, the results of the calculations can be applied for systems with other types of interactions presented, and this was demonstrated for the charge-charge interactions. In particular, it was shown that those interactions have a significant effect on distances between the unlike charges, while such an effect for the like charges is much less pronounced. The comparison of predictions made on the basis of the presented calculations to some experimental data is also given, and possible applications of the theoretical concept described in the paper are discussed.
Kundrotas
Petras J
PJ
Department of Biosciences at Novum, Karolinska Institutet, SE-141 57 Huddinge, Sweden.
D000818:Animals; D001671:Biochemistry / Q000379:methods; D001672:Biocompatible Materials / Q000737:chemistry*; D004330:Drosophila; D006801:Humans; D046911:Macromolecular Substances / Q000737:chemistry*; D015233:Models, Statistical; D008962:Models, Theoretical; D009010:Monte Carlo Method; D010455:Peptides / Q000737:chemistry*; D011487:Protein Conformation; D011489:Protein Denaturation; D017510:Protein Folding; D013816:Thermodynamics
D001672:Biocompatible Materials; D046911:Macromolecular Substances; D010455:Peptides