ArticleInternational journal of molecular sciences2022
ProTstab2 for Prediction of Protein Thermal Stabilities.
Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed, 50 citations in OpenAlex.
- LoMuS: low-rank adaptation with sequence multi-representation improves protein stability prediction.Bioinformatics (Oxford, England) · 2026Article
- Dynamics-informed multigraph neural networks for protein thermostability prediction and residue-level interpretation.iScience · 2026Article
- Proteome-wide analysis of protein stability in Escherichia coli under acid stress.Journal of industrial microbiology & biotechnology · 2026Article
- Article
- Supervised Learning of Protein Melting Temperature: Cross-Species vs. Species-Specific Prediction.Proteins · 2025Article
- Metabolic modeling identifies determinants of thermal growth responses in Arabidopsis thaliana.The New phytologist · 2025Article
- Prediction and design of thermostable proteins with a desired melting temperature.Scientific reports · 2025Article
- ProCeSa: Contrast-Enhanced Structure-Aware Network for Thermostability Prediction with Protein Language Models.Journal of chemical information and modeling · 2025Article
- ESMStabP: A Regression Model for Protein Thermostability Prediction.bioRxiv : the preprint server for biology · 2025Article
- Targeted Genome Mining Facilitates the Discovery of a Promiscuous, Hyperthermostable Amidase from Thermovenabulum Gondwanense with Notable Nylon-Degrading Capacity.Angewandte Chemie (International ed. in English) · 2025Article
- Predicting absolute protein folding stability using generative models.Protein science : a publication of the Protein Society · 2025Article
- TEMPRO: nanobody melting temperature estimation model using protein embeddings.Scientific reports · 2024Article
- PON-Tm: A Sequence-Based Method for Prediction of Missense Mutation Effects on Protein Thermal Stability Changes.International journal of molecular sciences · 2024Article
- Fluorescence-Based Protein Stability Monitoring-A Review.International journal of molecular sciences · 2024Review
- TemBERTure: advancing protein thermostability prediction with deep learning and attention mechanisms.Bioinformatics advances · 2024Article
- Article
- Influence of Model Structures on Predictors of Protein Stability Changes from Single-Point Mutations.Genes · 2023Article
- Machine Learning-Guided Protein Engineering.ACS catalysis · 2023Review
- Homologous Pairs of Low and High Temperature Originating Proteins Spanning the Known Prokaryotic Universe.Scientific data · 2023Article
- DeepSTABp: A Deep Learning Approach for the Prediction of Thermal Protein Stability.International journal of molecular sciences · 2023Article
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
The stability of proteins is an essential property that has several biological implications. Knowledge about protein stability is important in many ways, ranging from protein purification and structure determination to stability in cells and biotechnological applications. Experimental determination of thermal stabilities has been tedious and available data have been limited. The introduction of limited proteolysis and mass spectrometry approaches has facilitated more extensive cellular protein stability data production. We collected melting temperature information for 34,913 proteins and developed a machine learning predictor, ProTstab2, by utilizing a gradient boosting algorithm after testing seven algorithms. The method performance was assessed on a blind test data set and showed a Pearson correlation coefficient of 0.753 and root mean square error of 7.005. Comparison to previous methods indicated that ProTstab2 had superior performance. The method is fast, so it was applied to predict and compare the stabilities of all proteins in human, mouse, and zebrafish proteomes for which experimental data were not determined. The tool is freely available.
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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.