Performance of Web tools for predicting changes in protein stability caused by mutations.

ABSTRACT:

Background

Despite decades on developing dedicated Web tools, it is still difficult to predict correctly the changes of the thermodynamic stability of proteins caused by mutations. Here, we assessed the reliability of five recently developed Web tools, in order to evaluate the progresses in the field.

Results

The results show that, although there are improvements in the field, the assessed predictors are still far from ideal. Prevailing problems include the bias towards destabilizing mutations, and, in general, the results are unreliable when the mutation causes a ΔΔG within the interval ± 0.5 kcal/mol. We found that using several predictors and combining their results into a consensus is a rough, but effective way to increase reliability of the predictions.

Conclusions</

SUBMITTER: Marabotti A 

PROVIDER: S-EPMC8256537 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature