AIMC Topic: Protein Stability

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Neural network conditioned to produce thermophilic protein sequences can increase thermal stability.

Scientific reports Apr 23, 2025
This work presents Neural Optimization for Melting-temperature Enabled by Leveraging Translation (NOMELT), a novel approach for designing and ranking high-temperature stable proteins using neural machine translation. The model, trained on over 4 mill...
Temperature Animals Transcription Factors Neural Networks, Computer Drosophila Proteins Drosophila melanogaster Homeodomain Proteins Amino Acid Sequence Protein Stability
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Integrating Artificial Intelligence and Bioinformatics Methods to Identify Disruptive STAT1 Variants Impacting Protein Stability and Function.

Genes Mar 1, 2025
The Signal Transducer and Activator of Transcription 1 () gene is an essential component of the JAK-STAT signaling pathway. This pathway plays a pivotal role in the regulation of different cellular processes, including immune responses, cell growth,...
Artificial Intelligence Polymorphism, Single Nucleotide Computational Biology Humans STAT1 Transcription Factor Protein Stability Mutation, Missense
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AI-enabled alkaline-resistant evolution of protein to apply in mass production.

eLife Feb 19, 2025
Artificial intelligence (AI) models have been used to study the compositional regularities of proteins in nature, enabling it to assist in protein design to improve the efficiency of protein engineering and reduce manufacturing cost. However, in indu...
Hydrogen-Ion Concentration Protein Stability Protein Engineering Artificial Intelligence Alkalies
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PTSP-BERT: Predict the thermal stability of proteins using sequence-based bidirectional representations from transformer-embedded features.

Computers in biology and medicine Dec 20, 2024
Thermophilic proteins, mesophiles proteins and psychrophilic proteins have wide industrial applications, as enzymes with different optimal temperatures are often needed for different purposes. Convenient methods are needed to determine the optimal te...
Deep Learning Proteins Protein Stability Databases, Protein
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Linking Protein Stability to Pathogenicity: Predicting Clinical Significance of Single-Missense Mutations in Ocular Proteins Using Machine Learning.

International journal of molecular sciences Oct 30, 2024
Understanding the effect of single-missense mutations on protein stability is crucial for clinical decision-making and therapeutic development. The impact of these mutations on protein stability and 3D structure remains underexplored. Here, we develo...
Machine Learning Eye Proteins Humans Mutation, Missense Clinical Relevance cis-trans-Isomerases Protein Stability Eye Diseases
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Particle formation in response to different protein formulations and containers: Insights from machine learning analysis of particle images.

Journal of pharmaceutical sciences Oct 9, 2024
Subvisible particle count is a biotherapeutics stability indicator widely used by pharmaceutical industries. A variety of stresses that biotherapeutics are exposed to during development can impact particle morphology. By classifying particle morpholo...
Protein Aggregates Drug Storage Drug Compounding Freezing Chemistry, Pharmaceutical Drug Packaging Antibodies, Monoclonal Machine Learning Neural Networks, Computer Protein Stability Particle Size Drug Stability
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AI Prediction of Structural Stability of Nanoproteins Based on Structures and Residue Properties by Mean Pooled Dual Graph Convolutional Network.

Interdisciplinary sciences, computational life sciences Oct 5, 2024
The structural stability of proteins is an important topic in various fields such as biotechnology, pharmaceuticals, and enzymology. Specifically, understanding the structural stability of protein is crucial for protein design. Artificial design, whi...
Thermodynamics Algorithms Proteins Protein Stability Neural Networks, Computer Protein Conformation Artificial Intelligence Models, Molecular
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An end-to-end framework for the prediction of protein structure and fitness from single sequence.

Nature communications Aug 27, 2024
Significant research progress has been made in the field of protein structure and fitness prediction. Particularly, single-sequence-based structure prediction methods like ESMFold and OmegaFold achieve a balance between inference speed and prediction...
Protein Conformation Sequence Analysis, Protein Models, Molecular Mutation Protein Stability Neural Networks, Computer Computational Biology Algorithms Proteins
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Computational design of soluble and functional membrane protein analogues.

Nature Jun 19, 2024
De novo design of complex protein folds using solely computational means remains a substantial challenge. Here we use a robust deep learning pipeline to design complex folds and soluble analogues of integral membrane proteins. Unique membrane topolog...
Models, Molecular Humans Deep Learning Solubility Proof of Concept Study Amino Acid Motifs Proteome Membrane Proteins Computer-Aided Design Protein Stability Protein Folding Receptors, G-Protein-Coupled
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Differentiating stable and unstable protein using convolution neural network and molecular dynamics simulations.

Computational biology and chemistry Apr 20, 2024
Protein stability is a critical aspect of molecular biology and biochemistry, hinges on an intricate balance of thermodynamic and structural factors. Determining protein stability is crucial for understanding and manipulating biological machineries, ...
Thermodynamics Proteins Molecular Dynamics Simulation Neural Networks, Computer Protein Stability Machine Learning
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