| Value |
18
%
|
| Organism |
Unspecified |
| Reference |
Firnberg E, Labonte JW, Gray JJ, Ostermeier M: A Comprehensive, High-Resolution Map of a Gene's Fitness Landscape. Mol Biol Evol 2014. p.8 right column top paragraphPubMed ID24567513
|
| Primary Source |
Dehouck Y, Kwasigroch JM, Gilis D, Rooman M. 2011. PoPMuSiC 2.1: a web server for the estimation of protein stability changes upon mutation and sequence optimality. BMC Bioinformatics 12: 151. doi: 10.1186/1471-2105-12-151PubMed ID21569468
|
| Method |
"Predictions of ??G (?Gwild-type–?Gmutant) using PoPMuSiC (primary source), a more empirical approach than Rosetta [Das and Baker 2008 PMID 18410248, Chaudhury et al. 2010 PMID 20061306] to predicting
changes in protein stability, produced similar results and indicated
that 18% of the variance in protein fitness can be
explained by thermostability (supplementary fig. S12B,
Supplementary Material online)." |
| Comments |
"The larger a mutation’s
deleterious effect on fitness, the higher the probability
that the mutation produced a very large predicted energy
score (supplementary fig. S12A, Supplementary Material online)." |
| Entered by |
Uri M |
| ID |
110453 |