AIMC Topic: Protein Stability

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DeepDDG: Predicting the Stability Change of Protein Point Mutations Using Neural Networks.

Journal of chemical information and modeling
Accurately predicting changes in protein stability due to mutations is important for protein engineering and for understanding the functional consequences of missense mutations in proteins. We have developed DeepDDG, a neural network-based method, fo...

PON-tstab: Protein Variant Stability Predictor. Importance of Training Data Quality.

International journal of molecular sciences
Several methods have been developed to predict effects of amino acid substitutions on protein stability. Benchmark datasets are essential for method training and testing and have numerous requirements including that the data is representative for the...

Predicting the Effect of Single and Multiple Mutations on Protein Structural Stability.

Molecules (Basel, Switzerland)
Predicting how a point mutation alters a protein's stability can guide pharmaceutical drug design initiatives which aim to counter the effects of serious diseases. Conducting mutagenesis studies in physical proteins can give insights about the effect...

Stability of infliximab solutions in different temperature and dilution conditions.

Journal of pharmaceutical and biomedical analysis
Infliximab is a monoclonal antibody widely used for the treatment of inflammatory diseases. Over the past few years, many studies have assessed that monoclonal antibodies are prone to aggregation under stress conditions. The aim of this study was to ...

Pan-Specific Prediction of Peptide-MHC Class I Complex Stability, a Correlate of T Cell Immunogenicity.

Journal of immunology (Baltimore, Md. : 1950)
Binding of peptides to MHC class I (MHC-I) molecules is the most selective event in the processing and presentation of Ags to CTL, and insights into the mechanisms that govern peptide-MHC-I binding should facilitate our understanding of CTL biology. ...

Biosimilarity Assessments of Model IgG1-Fc Glycoforms Using a Machine Learning Approach.

Journal of pharmaceutical sciences
Biosimilarity assessments are performed to decide whether 2 preparations of complex biomolecules can be considered "highly similar." In this work, a machine learning approach is demonstrated as a mathematical tool for such assessments using a variety...

Understanding the stability landscape of LbCas12a by deep analysis of stabilizing mutations and mutation combinations.

Protein science : a publication of the Protein Society
Cas12a is one of the most widely used Cas nucleases for genome editing and in vitro diagnosis. A number of engineered Cas12a mutants have been identified with improved activity and stability. However, it remains largely unaddressed how these mutation...

Prediction and design of thermostable proteins with a desired melting temperature.

Scientific reports
The stability of proteins at higher temperatures is crucial for their functionality, which is measured by their melting temperature (Tm). The Tm is the temperature at which 50% of the protein loses its native structure and activity. Existing methods ...