Journal
JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS
Volume 34, Issue 5, Pages 1132-1142Publisher
TAYLOR & FRANCIS INC
DOI: 10.1080/07391102.2015.1073631
Keywords
protein thermal stability; melting temperature; temperature-dependent statistical potentials
Categories
Funding
- Fonds De La Recherche Scientifique (FNRS) [FRFC 2.4517.12]
Ask authors/readers for more resources
Protein thermostability has been the focus of growing research interests in the last decades since its understanding and control play important roles in the optimization of a wide series of bioprocesses of academic and industrial importance. The complexity of this issue is rooted in the fact that the mechanisms ensuring thermal resistance are not unique and specific, but rather family- or even protein-dependent. Therefore, and despite the amount of research already accomplished, obtaining fast and precise thermal stability predictions is still a challenge, especially on a large scale. This article deepens the study of protein thermal stability and is focused on the prediction of its best descriptor, the melting temperature T-m. The relations between T-m and a series of factors that are expected to influence the protein stability are analyzed and discussed. Different T-m-prediction methods that utilize these factors, sometimes with additional information about homologous proteins, are introduced, and their individual performances are evaluated. The best methods are based on temperature-dependent statistical potentials, on the environmental temperature of the host organism, on the fraction of charged residues, and on the number of residues. They are combined to build an improved prediction method with significantly increased score. The root mean square deviation between the computed and experimental T-m-values for 45 proteins of known structure from 11 families is about 7 degrees C in cross-validation and decreases to 5 degrees C when 10% outliers are removed. The associated linear correlation coefficients are equal to .91 and .95, respectively.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available