ArticlePloS one2012
Assessing predictors of changes in protein stability upon mutation using self-consistency.
Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
46 citing papers in PubMed.
- DDGWizard: Integration of feature calculation resources for analysis and prediction of changes in protein thermostability upon point mutations.PLoS computational biology · 2025Article
- AFToolkit: a framework for molecular modeling of proteins with AlphaFold-derived representations.Briefings in bioinformatics · 2025Article
- Decoding the effects of mutation on protein interactions using machine learning.Biophysics reviews · 2025Review
- Stability Oracle: a structure-based graph-transformer framework for identifying stabilizing mutations.Nature communications · 2024Article
- FireProt 2.0: web-based platform for the fully automated design of thermostable proteins.Briefings in bioinformatics · 2023Article
- Computer-aided design of novel cellobiose 2-epimerase for efficient synthesis of lactulose using lactose.Bioprocess and biosystems engineering · 2023Article
- Stability and expression of SARS-CoV-2 spike-protein mutations.Molecular and cellular biochemistry · 2023Article
- Using machine learning to predict the effects and consequences of mutations in proteins.Current opinion in structural biology · 2023Review
- Accurate protein stability predictions from homology models.Computational and structural biotechnology journal · 2023Article
- Turning Failures into Applications: The Problem of Protein ΔΔG Prediction.Methods in molecular biology (Clifton, N.J.) · 2022Article
- mmCSM-NA: accurately predicting effects of single and multiple mutations on protein-nucleic acid binding affinity.NAR genomics and bioinformatics · 2021Article
- Performance of Web tools for predicting changes in protein stability caused by mutations.BMC bioinformatics · 2021Article
- mmCSM-PPI: predicting the effects of multiple point mutations on protein-protein interactions.Nucleic acids research · 2021Article
- Phosphorylation in Novel Mitochondrial Creatine Kinase Tyrosine Residues Render Cardioprotection against Hypoxia/Reoxygenation Injury.Journal of lipid and atherosclerosis · 2021Article
- D-Amino acid substituted peptides as potential alternatives of homochiral L-configurations.Amino acids · 2021Article
- DynaMut2: Assessing changes in stability and flexibility upon single and multiple point missense mutations.Protein science : a publication of the Protein Society · 2021Article
- Predicting changes in protein thermodynamic stability upon point mutation with deep 3D convolutional neural networks.PLoS computational biology · 2020Article
- Comparative Analysis of Bacteriophytochrome Agp2 and Its Engineered Photoactivatable NIR Fluorescent Proteins PAiRFP1 and PAiRFP2.Biomolecules · 2020Article
- A critical review of five machine learning-based algorithms for predicting protein stability changes upon mutation.Briefings in bioinformatics · 2020Review
- mmCSM-AB: guiding rational antibody engineering through multiple point mutations.Nucleic acids research · 2020Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
The ability to predict the effect of mutations on protein stability is important for a wide range of tasks, from protein engineering to assessing the impact of SNPs to understanding basic protein biophysics. A number of methods have been developed that make these predictions, but assessing the accuracy of these tools is difficult given the limitations and inconsistencies of the experimental data. We evaluate four different methods based on the ability of these methods to generate consistent results for forward and back mutations, and examine how this ability varies with the nature and location of the mutation. We find that, while one method seems to outperform the others, the ability of these methods to make accurate predictions is limited.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.