AIMC Topic: Protein Stability

Clear Filters Showing 1 to 10 of 53 articles

Prediction of aggregation in monoclonal antibodies from molecular surface curvature.

Scientific reports Aug 2, 2025
Protein aggregation is one of the key challenges in the biopharmaceutical industry as its control is crucial in achieving long-term stability and efficacy of biopharmaceuticals. Attempts have been made to develop regression models for predicting the ...
Machine Learning Protein Stability Hydrophobic and Hydrophilic Interactions Protein Aggregates Antibodies, Monoclonal Molecular Dynamics Simulation
View on PubMed DOI

Tuning antibody stability and function by rational designs of framework mutations.

mAbs Jul 13, 2025
Artificial intelligence and machine learning models have been developed to engineer antibodies for specific recognition of antigens. These approaches, however, often focus on the antibody complementarity-determining region (CDR) whilst ignoring the i...
Humans Mutation Protein Engineering Complementarity Determining Regions Receptor, ErbB-2 Trastuzumab Molecular Dynamics Simulation Protein Stability
View on PubMed DOI

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...
Amino Acid Sequence Protein Stability Animals Transcription Factors Homeodomain Proteins Drosophila Proteins Drosophila melanogaster Neural Networks, Computer Temperature
View on PubMed DOI

PILOT: Deep Siamese network with hybrid attention improves prediction of mutation impact on protein stability.

Neural networks : the official journal of the International Neural Network Society Apr 8, 2025
Evaluating the mutation impact on protein stability (ΔΔG) is essential in the study of protein engineering and understanding molecular mechanisms of disease-associated mutations. Here, we propose a novel deep learning framework, PILOT, for improved p...
Mutation Protein Stability Pilot Projects Proteins Neural Networks, Computer Humans Deep Learning
View on PubMed DOI

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,...
Computational Biology Humans Protein Stability STAT1 Transcription Factor Artificial Intelligence Mutation, Missense Polymorphism, Single Nucleotide
View on PubMed DOI

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 Engineering Protein Stability Artificial Intelligence Alkalies
View on PubMed DOI

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...
Protein Stability Proteins Databases, Protein Deep Learning
View on PubMed DOI

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...
Eye Diseases Mutation, Missense Humans Eye Proteins Machine Learning Clinical Relevance cis-trans-Isomerases Protein Stability
View on PubMed DOI

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...
Chemistry, Pharmaceutical Neural Networks, Computer Antibodies, Monoclonal Protein Aggregates Protein Stability Drug Storage Drug Packaging Drug Stability Drug Compounding Freezing Machine Learning Particle Size
View on PubMed DOI

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...
Protein Stability Protein Conformation Thermodynamics Proteins Models, Molecular Artificial Intelligence Algorithms Neural Networks, Computer
View on PubMed DOI
Popular Topics
Recent Journals