Giri Narasimhan, Changsong Bu, et al.
Journal of Computational Biology
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.
Giri Narasimhan, Changsong Bu, et al.
Journal of Computational Biology
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Journal of Computational Biology
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ISGC 2022
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Proteins: Structure, Function and Genetics