<p>RMSE of the linear regression through the origin between experimental and predicted variations in free energy variations (ΔΔG). Box plots generated from 10000 resampling bootstrapping iterations on the subset of destabilizing mutations (experimental ΔΔG>0.5 kcal/mol) in the PoPMuSiC-2.0 dataset (N = 174). The results for destabilizing mutations mirror to a great extent those for the entire dataset given that they represent 57% of the entire dataset.</p
International audienceA structural database of 11 families of chains differing by a single amino aci...
<p>(A) Predicted growth rates for expression profiles constructed by adding each of <i>n</i> = 3 rep...
In this experiment, we set density = 25% and using respond-time dataset. As the figure shows, MAE fi...
<p>RMSE of the linear regression through the origin between experimental and predicted variations in...
Motivation: Bioinformatics tools that predict protein stability changes upon point mutations have ma...
<p>Predictions calculated using PoPMuSiC. ΔΔG values for proteins marked with * were determined from...
<p>We calculate the RMSE difference (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/j...
<p>(A) The MD simulations of 1-17-2 Fab and the 30 mutants. The curves indicate the RMSD value chang...
In this experiment, we set density = 25% and using throughput dataset. As the figure shows, MAE and ...
<p>Root mean square deviation (RMSD) for each enzyme variant has been averaged over three independen...
<p>Mutation frequencies as predicted by the generalized linear model (large dots) and observed frequ...
Bioinformatics tools that predict protein stability changes upon point mutations have made a lot of ...
Deep mutational scanning datasets used for 'Mutation Effect Prediction of Proteins using RoseTTAFold...
<p>We present as a parallel plot the bootstrapped median RMSE for stabilizing and destabilizing muta...
<p>The average RMSF of the mutated residues for 10 ns are plotted in 2D bar graph. The bars in gray ...
International audienceA structural database of 11 families of chains differing by a single amino aci...
<p>(A) Predicted growth rates for expression profiles constructed by adding each of <i>n</i> = 3 rep...
In this experiment, we set density = 25% and using respond-time dataset. As the figure shows, MAE fi...
<p>RMSE of the linear regression through the origin between experimental and predicted variations in...
Motivation: Bioinformatics tools that predict protein stability changes upon point mutations have ma...
<p>Predictions calculated using PoPMuSiC. ΔΔG values for proteins marked with * were determined from...
<p>We calculate the RMSE difference (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/j...
<p>(A) The MD simulations of 1-17-2 Fab and the 30 mutants. The curves indicate the RMSD value chang...
In this experiment, we set density = 25% and using throughput dataset. As the figure shows, MAE and ...
<p>Root mean square deviation (RMSD) for each enzyme variant has been averaged over three independen...
<p>Mutation frequencies as predicted by the generalized linear model (large dots) and observed frequ...
Bioinformatics tools that predict protein stability changes upon point mutations have made a lot of ...
Deep mutational scanning datasets used for 'Mutation Effect Prediction of Proteins using RoseTTAFold...
<p>We present as a parallel plot the bootstrapped median RMSE for stabilizing and destabilizing muta...
<p>The average RMSF of the mutated residues for 10 ns are plotted in 2D bar graph. The bars in gray ...
International audienceA structural database of 11 families of chains differing by a single amino aci...
<p>(A) Predicted growth rates for expression profiles constructed by adding each of <i>n</i> = 3 rep...
In this experiment, we set density = 25% and using respond-time dataset. As the figure shows, MAE fi...