Bioinformatic method for protein thermal stabilization by structural entropy optimization.


Abstract

Engineering proteins for higher thermal stability is an important and difficult challenge. We describe a bioinformatic method incorporating sequence alignments to redesign proteins to be more stable through optimization of local structural entropy. Using this method, improved configurational entropy (ICE), we were able to design more stable variants of a mesophilic adenylate kinase with only the sequence information of one psychrophilic homologue. The redesigned proteins display considerable increases in their thermal stabilities while still retaining catalytic activity. ICE does not require a three-dimensional structure or a large number of homologous sequences, indicating a broad applicability of this method. Our results also highlight the importance of entropy in the stability of protein structures. Study holds ProTherm entries: 24676, 24677, 24678 Extra Details: adenylate kinase; improved configurational entropy; local structural entropy; protein engineering; protein stability

Submission Details

ID: jG9UmvwW3

Submitter: Connie Wang

Submission Date: April 24, 2018, 8:55 p.m.

Version: 1

Publication Details
Bae E;Bannen RM;Phillips GN,Proc. Natl. Acad. Sci. U.S.A. (2008) Bioinformatic method for protein thermal stabilization by structural entropy optimization. PMID:18621726
Additional Information

Sequence Assay Result Units