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 …
[HTML][HTML] Limitations and challenges in protein stability prediction upon genome variations: towards future applications in precision medicine
Protein stability predictions are becoming essential in medicine to develop novel
immunotherapeutic agents and for drug discovery. Despite the large number of …
immunotherapeutic agents and for drug discovery. Despite the large number of …
Computational design of enzymes for biotechnological applications
Enzymes are the natural catalysts that execute biochemical reactions upholding life. Their
natural effectiveness has been fine-tuned as a result of millions of years of natural evolution …
natural effectiveness has been fine-tuned as a result of millions of years of natural evolution …
Computational design of stable and soluble biocatalysts
M Musil, H Konegger, J Hon, D Bednar… - Acs Catalysis, 2018 - ACS Publications
Natural enzymes are delicate biomolecules possessing only marginal thermodynamic
stability. Poorly stable, misfolded, and aggregated proteins lead to huge economic losses in …
stability. Poorly stable, misfolded, and aggregated proteins lead to huge economic losses in …
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 …
[HTML][HTML] iStable 2.0: Predicting protein thermal stability changes by integrating various characteristic modules
Protein mutations can lead to structural changes that affect protein function and result in
disease occurrence. In protein engineering, drug design or and optimization industries …
disease occurrence. In protein engineering, drug design or and optimization industries …
Finding the ΔΔG spot: Are predictors of binding affinity changes upon mutations in protein–protein interactions ready for it?
Predicting the structure and thermodynamics of protein–protein interactions (PPIs) are key to
a proper understanding and modulation of their function. Since experimental methods might …
a proper understanding and modulation of their function. Since experimental methods might …
BayeStab: Predicting effects of mutations on protein stability with uncertainty quantification
Predicting protein thermostability change upon mutation is crucial for understanding
diseases and designing therapeutics. However, accurately estimating Gibbs free energy …
diseases and designing therapeutics. However, accurately estimating Gibbs free energy …
Evaluating protein engineering thermostability prediction tools using an independently generated dataset
Engineering proteins to enhance thermal stability is a widely utilized approach for creating
industrially relevant biocatalysts. The development of new experimental datasets and …
industrially relevant biocatalysts. The development of new experimental datasets and …
Computational approaches for predicting variant impact: An overview from resources, principles to applications
One objective of human genetics is to unveil the variants that contribute to human diseases.
With the rapid development and wide use of next-generation sequencing (NGS), massive …
With the rapid development and wide use of next-generation sequencing (NGS), massive …