title: Revisiting the correlation between proteins' thermoresistance and organisms' thermophilicity.
abstract: The possibility to rationally design protein mutants that remain structured and active at high temperatures strongly depends on a better understanding of the mechanisms of protein thermostability. Studies devoted to this issue often rely on the living temperature (T(env)) of the host organism rather than on the melting temperature (T(m)) of the analyzed protein. To investigate the scale of this approximation, we probed the relationship between T(m) and T(env) on a dataset of 127 proteins, and found a much weaker correlation than previously expected: the correlation coefficient is equal to 0.59 and the regression line is T(m) approximately 42.9 degrees C + 0.62T(env). To illustrate the effect of using T(env) rather than T(m) to analyze protein thermoresistance, we derive statistical distance potentials, describing Glu-Arg and Asp-Arg salt bridges, from protein structure sets with high or low T(m) or T(env). The results show that the more favorable nature of salt bridges, relative to other interactions, at high temperatures is more clear-cut when defining thermoresistance in terms of T(m). The T(env)-based sets nevertheless remain informative.
authors.affiliation: Unité de Bioinformatique génomique et structurale, Université Libre de Bruxelles, Av. F. Roosevelt 50, CP 165/61, 1050 Brussels, Belgium. ydehouck@ulb.ac.be
authors.forename: Yves
authors.initials: Y
authors.lastname: Dehouck
authors.forename: Benjamin
authors.initials: B
authors.lastname: Folch
authors.forename: Marianne
authors.initials: M
authors.lastname: Rooman
mesh_terms: D006358:Hot Temperature; D006863:Hydrogen-Ion Concentration; D008954:Models, Biological; D011489:Protein Denaturation; D011506:Proteins / Q000737:chemistry* / Q000378:metabolism*; D012044:Regression Analysis; D044366:Transition Temperature
chemical_list: D011506:Proteins