ArticleBMC bioinformatics2021
Performance of Web tools for predicting changes in protein stability caused by mutations.
Article in BMC bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- High-throughput ligand discovery in living cells using the cellular protein stability enhancement assay.Acta pharmaceutica Sinica. B · 2026Article
- Correlation of MLASA2 Clinical Phenotype and Survival with Mt-TyrRS Protein Damage: Linking Systematic Review, Meta-Analysis and 3D Hotspot Mapping.Current issues in molecular biology · 2026Review
- DDGWizard: Integration of feature calculation resources for analysis and prediction of changes in protein thermostability upon point mutations.PLoS computational biology · 2025Article
- Identification of deleterious non-synonymous single nucleotide polymorphisms in the mRNA decay activator ZFP36L2.RNA biology · 2025Article
- Systematic evaluation of predictors for binding free energy changes upon mutations in protein complexes.Briefings in bioinformatics · 2025Article
- Molecular basis of host recognition of human coronavirus 229E.Nature communications · 2025Article
- Sam-Sam Association Between EphA2 and SASH1: In Silico Studies of Cancer-Linked Mutations.Molecules (Basel, Switzerland) · 2025Article
- Widespread adaptive evolution in angiosperm photosystems provides insight into the evolution of photosystem II repair.The Plant cell · 2024Article
- Article
- Effect of the Lys62Ala Mutation on the Thermal Stability ofInternational journal of molecular sciences · 2024Article
- Functional and in silico analysis of ATP8A2 and other P4-ATPase variants associated with human genetic diseases.Disease models & mechanisms · 2024Article
- Cancer-Related Mutations in the Sam Domains of EphA2 Receptor and Ship2 Lipid Phosphatase: A Computational Study.Molecules (Basel, Switzerland) · 2024Article
- HomozygousHuman mutation · 2024Article
- High-Accuracy Prediction of Stabilizing Surface Mutations to the Three-Helix Bundle, UBA(1), with EmCAST.Journal of the American Chemical Society · 2023Article
- Attenuated but immunostimulatory Mycobacterium tuberculosis variant bovis strain Ravenel shows variation in T cell epitopes.Scientific reports · 2023Article
- DDMut: predicting effects of mutations on protein stability using deep learning.Nucleic acids research · 2023Article
- From genotype to phenotype: computational approaches for inferring microbial traits relevant to the food industry.FEMS microbiology reviews · 2023Review
- Correspondence between functional scores from deep mutational scans and predicted effects on protein stability.Protein science : a publication of the Protein Society · 2023Article
- VariBench, new variation benchmark categories and data sets.Frontiers in bioinformatics · 2023Article
- Most frequently harboured missense variants of hACE2 across different populations exhibit varying patterns of binding interaction with spike glycoproteins of emerging SARS-CoV-2 of different lineages.Computers in biology and medicine · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
backgroundDespite 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.
resultsThe 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.
conclusionsWe suggest all developers to consider in their future tools the usage of balanced data sets for training of predictors, and all users to combine the results of multiple tools to increase the chances of having correct predictions about the effect of mutations on the thermodynamic stability of a protein.
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