Predicting the rate enhancement of protein complex formation from the electrostatic energy of interaction.
Predicting the rate enhancement of protein complex formation from the electrostatic energy of interaction.
复制标题
从相互作用的静电能预测蛋白质复合物形成的速率增强。
DOI:
10.1006/jmbi.1999.2615
复制
发表时间:
1999
影响因子:
5.6
通讯作者:
G. Schreiber
中科院分区:
文献类型:
--
作者:
Tzvia Selzer;G. Schreiber
The rate of association of proteins is dictated by diffusion, but can be enhanced by favorable electrostatic forces. Here the relationship between the electrostatic energy of interaction, and the kinetics of protein-complex formation was analyzed for the protein pairs of: hirudin-thrombin, acetylcholinesterase-fasciculin and barnase-barstar, and for a panel of point mutants of these proteins. Electrostatic energies of interaction were calculated as the difference between the electrostatic energy of the complex and the sum of the energies of the two individual proteins, using the computer simulation package DelPhi. Calculated electrostatic energies of interaction were compared to experimentally determined rates of association. One kcal/mol of Coulombic interaction energy increased the rate of association by a factor of 2.8, independent of the protein-complex or mutant analyzed. Electrostatic energies of interaction were also determined from the salt dependence of the association rate constant, using the same basic equation as for the theoretical calculation. A Brönsted analysis of the electrostatic energies of interactions plotted versus experimentally determined ln(rate)s of association shows a linear relation between the two, with a beta value close to 1. This is interpreted as the energy of the transition state varies according to the electrostatic interaction energy, fitting a two state model for the association reaction. Calculating electrostatic rate enhancement from the electrostatic interaction energy can be used as a powerful tool to design protein complexes with altered rates of association and affinities.
影响因子:
3.4
作者:
KOZACK, RE;DMELLO, MJ;SUBRAMANIAM, S
通讯作者:
SUBRAMANIAM, S
影响因子:
56.9
作者:
RYDEL, TJ;RAVICHANDRAN, KG;FENTON, JW
通讯作者:
FENTON, JW
影响因子:
3.4
作者:
Sham,YY;Muegge,I;Warshel,A
通讯作者:
Warshel,A