ArticleProteins2012
PROTS: a fragment based protein thermo-stability potential.
Article in Proteins, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Molecular Adaptations of Thermophilic Proteins-From Mechanistic Understanding to Machine Learning Approaches.ChemistryOpen · 2026Review
- DDMut-PPI: predicting effects of mutations on protein-protein interactions using graph-based deep learning.Nucleic acids research · 2024Article
- The role of data imbalance bias in the prediction of protein stability change upon mutation.PloS one · 2023Article
- Article
- A critical review of five machine learning-based algorithms for predicting protein stability changes upon mutation.Briefings in bioinformatics · 2020Review
- Prediction of impacts of mutations on protein structure and interactions: SDM, a statistical approach, and mCSM, using machine learning.Protein science : a publication of the Protein Society · 2020Article
- Robust Prediction of Single and Multiple Point Protein Mutations Stability Changes.Biomolecules · 2019Article
- Article
- Sequence-Based Analysis of Thermal Adaptation and Protein Energy Landscapes in an Invasive Blue Mussel (Mytilus galloprovincialis).Genome biology and evolution · 2017Article
- SDM: a server for predicting effects of mutations on protein stability.Nucleic acids research · 2017Article
- Novel Ricin Subunit Antigens With Enhanced Capacity to Elicit Toxin-Neutralizing Antibody Responses in Mice.Journal of pharmaceutical sciences · 2016Article
- Structure Based Thermostability Prediction Models for Protein Single Point Mutations with Machine Learning Tools.PloS one · 2015Article
- Effect of single-point mutations on the stability and immunogenicity of a recombinant ricin A chain subunit vaccine antigen.Human vaccines & immunotherapeutics · 2013Article
- Article
- Assessing predictors of changes in protein stability upon mutation using self-consistency.PloS one · 2012Article
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Authors and funding
6 authors.
Funding
Abstract
Designing proteins with enhanced thermo-stability has been a main focus of protein engineering because of its theoretical and practical significance. Despite extensive studies in the past years, a general strategy for stabilizing proteins still remains elusive. Thus effective and robust computational algorithms for designing thermo-stable proteins are in critical demand. Here we report PROTS, a sequential and structural four-residue fragment based protein thermo-stability potential. PROTS is derived from a nonredundant representative collection of thousands of thermophilic and mesophilic protein structures and a large set of point mutations with experimentally determined changes of melting temperatures. To the best of our knowledge, PROTS is the first protein stability predictor based on integrated analysis and mining of these two types of data. Besides conventional cross validation and blind testing, we introduce hypothetical reverse mutations as a means of testing the robustness of protein thermo-stability predictors. In all tests, PROTS demonstrates the ability to reliably predict mutation induced thermo-stability changes as well as classify thermophilic and mesophilic proteins. In addition, this white-box predictor allows easy interpretation of the factors that influence mutation induced protein stability changes at the residue level.
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Registered trials
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