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Self-consistency test reveals systematic bias in programs for prediction change of stability upon mutation.

Dinara R Usmanova | Natalya S Bogatyreva | Joan Ariño Bernad | Aleksandra A Eremina | Anastasiya A Gorshkova | German M Kanevskiy | Lyubov R Lonishin | Alexander V Meister | Alisa G Yakupova | Fyodor A Kondrashov | Dmitry N Ivankov
Bioinformatics (Oxford, England) | 2018

Computational prediction of the effect of mutations on protein stability is used by researchers in many fields. The utility of the prediction methods is affected by their accuracy and bias. Bias, a systematic shift of the predicted change of stability, has been noted as an issue for several methods, but has not been investigated systematically. Presence of the bias may lead to misleading results especially when exploring the effects of combination of different mutations.

Pubmed ID: 29722803

Research resources used in this publication

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Antibodies used in this publication

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Associated grants

  • Agency: Howard Hughes Medical Institute, United States
    Id: 55007424

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This is a list of tools and resources that we have found mentioned in this publication.


FoldX (tool)

RRID:SCR_008522

A computer algorithm that provides a fast and quantitative estimation of the importance of the interactions contributing to the stability of proteins and protein complexes. The predictive power of FOLDEF has been tested on a very large set of point mutants (1088 mutants) spanning most of the structural environments found in proteins . FoldX uses a full atomic description of the structure of the proteins. The different energy terms taken into account in FoldX have been weighted using empirical data obtained from protein engineering experiments.

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MODELLER (tool)

RRID:SCR_008395

Software tool as Program for Comparative Protein Structure Modelling by Satisfaction of Spatial Restraints. Used for homology or comparative modeling of protein three dimensional structures. User provides alignment of sequence to be modeled with known related structures and MODELLER automatically calculates model containing all non hydrogen atoms.

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