Qing Zhong, Rui Sun, et al.
Life Science Alliance
We have developed a novel computational alanine scanning approach that involves analysis of ensemble unfolding kinetics at high temperature to identify residues that are critical for the stability of a given protein. This approach has been applied to dimerization of the oligomerization domain (residues 326-355) of tumor suppressor p53. As validated by experimental results, our approach has reasonable success in identifying deleterious mutations, including mutations that have been linked to cancer. We discuss a method for determining the effect of mutations on the location of the dimerization transition state. © 2005 Elsevier Ltd. All rights reserved.
Qing Zhong, Rui Sun, et al.
Life Science Alliance
Marvin Alberts, Teodoro Laino
ACS Fall 2025
Peter J. Leonard, Douglas Henderson
Molecular Physics
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Annals of Human Genetics