Artificial intelligence challenges for predicting the impact of mutations on protein stability
Stability is a key ingredient of protein fitness, and its modification through targeted mutations
has applications in various fields, such as protein engineering, drug design, and deleterious …
has applications in various fields, such as protein engineering, drug design, and deleterious …
Machine learning in enzyme engineering
Enzyme engineering plays a central role in developing efficient biocatalysts for
biotechnology, biomedicine, and life sciences. Apart from classical rational design and …
biotechnology, biomedicine, and life sciences. Apart from classical rational design and …
Predicting the stability of mutant proteins by computational approaches: an overview
A Marabotti, B Scafuri, A Facchiano - Briefings in Bioinformatics, 2021 - academic.oup.com
A very large number of computational methods to predict the change in thermodynamic
stability of proteins due to mutations have been developed during the last 30 years, and …
stability of proteins due to mutations have been developed during the last 30 years, and …
Predicting changes in protein thermodynamic stability upon point mutation with deep 3D convolutional neural networks
Predicting mutation-induced changes in protein thermodynamic stability (ΔΔG) is of great
interest in protein engineering, variant interpretation, and protein biophysics. We introduce …
interest in protein engineering, variant interpretation, and protein biophysics. We introduce …
FireProt 2.0: web-based platform for the fully automated design of thermostable proteins
M Musil, A Jezik, J Horackova, S Borko… - Briefings in …, 2024 - academic.oup.com
Thermostable proteins find their use in numerous biomedical and biotechnological
applications. However, the computational design of stable proteins often results in single …
applications. However, the computational design of stable proteins often results in single …
Quantification of biases in predictions of protein stability changes upon mutations
F Pucci, KV Bernaerts, JM Kwasigroch… - …, 2018 - academic.oup.com
Motivation Bioinformatics tools that predict protein stability changes upon point mutations
have made a lot of progress in the last decades and have become accurate and fast enough …
have made a lot of progress in the last decades and have become accurate and fast enough …
Predicting protein thermal stability changes upon point mutations using statistical potentials: Introducing HoTMuSiC
The accurate prediction of the impact of an amino acid substitution on the thermal stability of
a protein is a central issue in protein science, and is of key relevance for the rational …
a protein is a central issue in protein science, and is of key relevance for the rational …
Systematic investigation of the data set dependency of protein stability predictors
Prediction of protein stability changes caused by mutation is of major importance to protein
engineering and for understanding protein misfolding diseases and protein evolution. The …
engineering and for understanding protein misfolding diseases and protein evolution. The …
Improving the accuracy of protein thermostability predictions for single point mutations
Accurately predicting the protein thermostability changes upon single point mutations in
silico is a challenge that has implications for understanding diseases as well as industrial …
silico is a challenge that has implications for understanding diseases as well as industrial …
[HTML][HTML] Prediction and evolution of the molecular fitness of SARS-CoV-2 variants: introducing SpikePro
The understanding of the molecular mechanisms driving the fitness of the SARS-CoV-2 virus
and its mutational evolution is still a critical issue. We built a simplified computational model …
and its mutational evolution is still a critical issue. We built a simplified computational model …