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PMID: 15644215 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Protein sequence randomization: efficient estimation of protein stability using knowledge-based potentials.

Journal of molecular biology ·Vol. 345 ·No. 5 ·2005-02-04 ·Pages 1199-212

Wiederstein M, Sippl MJ

Abstract

Modifications of the amino acid sequence generally affect protein stability. Here, we use knowledge-based potentials to estimate the stability of protein structures under sequence variation. Calculations on a variety of protein scaffolds result in a clear distinction of known mutable regions from arbitrarily chosen control patches. For example, randomly changing the sequence of an antibody paratope yields a significantly lower number of destabilized mutants as compared to the randomization of comparable regions on the protein surface. The technique is computationally efficient and can be used to screen protein structures for regions that are amenable to molecular tinkering by preserving the stability of the mutated proteins.

MeSH Terms
Amino Acid Sequence Computational Biology Models, Molecular Mutation/genetics Proline/analysis Protein Denaturation Protein Engineering Protein Structure, Tertiary Proteins/chemistry,genetics Random Allocation Thermodynamics
Chemicals
Proteins Proline
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Wiederstein Markus
Center of Applied Molecular Engineering, University of Salzburg, Jakob Haringerstrasse 5, 5020 Salzburg, Austria.
Sippl Manfred J
Article Info
Journal
Journal of molecular biology
Abbr.
J Mol Biol
ISSN
0022-2836
Published
2005-02-04
Epub
2004-00-13
Pages
1199-212
Language
English
Region
England
NLM ID
2985088R
Subset
IM
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