AIMC Topic: Protein Stability

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PMSPcnn: Predicting protein stability changes upon single point mutations with convolutional neural network.

Structure (London, England : 1993) Mar 19, 2024
Protein missense mutations and resulting protein stability changes are important causes for many human genetic diseases. However, the accurate prediction of stability changes due to mutations remains a challenging problem. To address this problem, we...
Protein Stability Tumor Suppressor Protein p53 Databases, Protein Models, Molecular Myoglobin Humans DNA Glycosylases Neural Networks, Computer Mutation, Missense Point Mutation
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Transfer learning to leverage larger datasets for improved prediction of protein stability changes.

Proceedings of the National Academy of Sciences of the United States of America Jan 29, 2024
Amino acid mutations that lower a protein's thermodynamic stability are implicated in numerous diseases, and engineered proteins with enhanced stability can be important in research and medicine. Computational methods for predicting how mutations per...
Proteins Amino Acid Sequence Neural Networks, Computer Machine Learning Protein Stability
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ProSTAGE: Predicting Effects of Mutations on Protein Stability by Using Protein Embeddings and Graph Convolutional Networks.

Journal of chemical information and modeling Jan 2, 2024
Protein thermodynamic stability is essential to clarify the relationships among structure, function, and interaction. Therefore, developing a faster and more accurate method to predict the impact of the mutations on protein stability is helpful for p...
Protein Stability Proteins Protein Structure, Secondary Neural Networks, Computer Mutation
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MEnTaT: A machine-learning approach for the identification of mutations to increase protein stability.

Proceedings of the National Academy of Sciences of the United States of America Dec 1, 2023
Enhancing protein thermal stability is important for biomedical and industrial applications as well as in the research laboratory. Here, we describe a simple machine-learning method which identifies amino acid substitutions that contribute to thermal...
Protein Stability Enzyme Stability Mutation Amino Acid Sequence Machine Learning Proteins
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ProS-GNN: Predicting effects of mutations on protein stability using graph neural networks.

Computational biology and chemistry Aug 26, 2023
Predicting protein stability change upon variation through a computational approach is a valuable tool to unveil the mechanisms of mutation-induced drug failure and develop immunotherapy strategies. Some previous machine learning-based techniques exh...
Mutation Protein Stability Machine Learning Immunotherapy Neural Networks, Computer
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Rapid protein stability prediction using deep learning representations.

eLife May 15, 2023
Predicting the thermodynamic stability of proteins is a common and widely used step in protein engineering, and when elucidating the molecular mechanisms behind evolution and disease. Here, we present RaSP, a method for making rapid and accurate pred...
Proteins Deep Learning Protein Stability Humans Computational Biology Mutagenesis Amino Acids
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DeepSTABp: A Deep Learning Approach for the Prediction of Thermal Protein Stability.

International journal of molecular sciences Apr 18, 2023
Proteins are essential macromolecules that carry out a plethora of biological functions. The thermal stability of proteins is an important property that affects their function and determines their suitability for various applications. However, curren...
Deep Learning Protein Stability Proteome
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Large-scale design and refinement of stable proteins using sequence-only models.

PloS one Mar 14, 2022
Engineered proteins generally must possess a stable structure in order to achieve their designed function. Stable designs, however, are astronomically rare within the space of all possible amino acid sequences. As a consequence, many designs must be ...
Protein Stability Neural Networks, Computer Amino Acids Amino Acid Sequence Proteins
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Machine Learning Approaches for Metalloproteins.

Molecules (Basel, Switzerland) Feb 14, 2022
Metalloproteins are a family of proteins characterized by metal ion binding, whereby the presence of these ions confers key catalytic and ligand-binding properties. Due to their ubiquity among biological systems, researchers have made immense efforts...
Machine Learning Binding Sites Structure-Activity Relationship Metalloproteins Models, Molecular Protein Stability Drug Design Amino Acid Sequence Proteolysis Protein Binding
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Artificial intelligence challenges for predicting the impact of mutations on protein stability.

Current opinion in structural biology Dec 15, 2021
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 variant interpretation. Many studies have been devoted ove...
Mutation Machine Learning Artificial Intelligence Protein Stability Algorithms
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