Effects of Charge-to-Alanine Substitutions on the Stability of Ribosomal Protein L30e from Thermococcus celer

• Published in: Biochemistry (Easton) 2005-12, Vol.44 (51), p.16817-16825
• Main Authors: Lee, Chi-Fung, Makhatadze, George I, Wong, Kam-Bo
• Format: Article
• Language: English
• Subjects: Amino Acid Substitution; Archaeal Proteins - chemistry; Archaeal Proteins - genetics; Computer Simulation; Models, Molecular; Mutation - genetics; Osmolar Concentration; Protein Denaturation; Recombinant Proteins - chemistry; Recombinant Proteins - genetics; Ribosomal Proteins - chemistry; Ribosomal Proteins - genetics; Sodium Chloride - chemistry; Static Electricity; Thermococcus - chemistry; Thermococcus - genetics; Thermococcus celer; Thermodynamics; Transition Temperature
• ISSN: 0006-2960; 1520-4995
• DOI: 10.1021/bi0519654

The ability to rationally engineer a protein with altered stability depends upon the detailed understanding of the role of noncovalent interactions in defining thermodynamic properties of proteins. In this paper, we used T. celer L30e as a model to address the question of the role of charge−charge interactions in defining the stability of this protein. A total of 26 single-site charge-to-alanine variants of this protein were generated, and the stability of these proteins was determined using thermal- and denaturant-induced unfolding. It was found that, although L30e is isolated from a thermophilic organism and is highly thermostable, some of the substitutions lead to a further increase in the transition temperature. Analysis of the effects of high ionic strength on the stabilities of L30e variants shows that the long-range charge−charge interactions are as important as the short-range (salt bridge) interactions. The changes in stabilities of the T. celer L30e protein variants were compared with the changes in the energy of charge−charge interactions calculated using different computational models. It was found that there is a good qualitative agreement between experimental and calculated data:  for 70−80% (19−21 of 26, confidence p < 0.003) of the variants, computational models predict correctly the sign of the stability changes. In particular, computational models identify correctly those charged amino acid residue substitutions of which led to enhancement in thermostability. Thus, optimization of the charge−charge interactions might be a useful approach for the rational increase in protein stability.