AIMC Topic: Hydrophobic and Hydrophilic Interactions

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Designer artificial environments for membrane protein synthesis.

Nature communications May 10, 2025
Protein synthesis in natural cells involves intricate interactions between chemical environments, protein-protein interactions, and protein machinery. Replicating such interactions in artificial and cell-free environments can control the precision of...
Machine Learning Membrane Proteins Hydrophobic and Hydrophilic Interactions Synthetic Biology Protein Biosynthesis
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Identifying nonadditive contributions to the hydrophobicity of chemically heterogeneous surfaces via dual-loop active learning.

The Journal of chemical physics Jan 14, 2022
Hydrophobic interactions drive numerous biological and synthetic processes. The materials used in these processes often possess chemically heterogeneous surfaces that are characterized by diverse chemical groups positioned in close proximity at the n...
Neural Networks, Computer Machine Learning Water Proteins Molecular Dynamics Simulation Hydrophobic and Hydrophilic Interactions
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Learning the molecular grammar of protein condensates from sequence determinants and embeddings.

Proceedings of the National Academy of Sciences of the United States of America Apr 13, 2021
Intracellular phase separation of proteins into biomolecular condensates is increasingly recognized as a process with a key role in cellular compartmentalization and regulation. Different hypotheses about the parameters that determine the tendency of...
Humans Machine Learning Animals Amino Acid Sequence Hydrophobic and Hydrophilic Interactions Sequence Analysis, Protein
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Various machine learning approaches coupled with molecule simulation in the screening of natural compounds with xanthine oxidase inhibitory activity.

Food & function Mar 1, 2021
Gout is a common inflammatory arthritis associated with various comorbidities, such as cardiovascular disease and metabolic syndrome. Xanthine oxidase inhibitors (XOIs) have emerged as effective substances to control gout. Much attention has been giv...
Machine Learning Molecular Docking Simulation Drug Discovery Gout Suppressants Hydrophobic and Hydrophilic Interactions Enzyme Inhibitors Databases, Chemical Xanthine Oxidase
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Recent Advances in Machine Learning Based Prediction of RNA-protein Interactions.

Protein and peptide letters Jan 1, 2019
The interactions between RNAs and proteins play critical roles in many biological processes. Therefore, characterizing these interactions becomes critical for mechanistic, biomedical, and clinical studies. Many experimental methods can be used to det...
Machine Learning Algorithms Computational Biology RNA-Binding Proteins Molecular Dynamics Simulation RNA Hydrophobic and Hydrophilic Interactions Nucleic Acid Conformation
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Prediction of delayed retention of antibodies in hydrophobic interaction chromatography from sequence using machine learning.

Bioinformatics (Oxford, England) Dec 1, 2017
MOTIVATION: The hydrophobicity of a monoclonal antibody is an important biophysical property relevant for its developability into a therapeutic. In addition to characterizing heterogeneity, Hydrophobic Interaction Chromatography (HIC) is an assay tha...
Machine Learning ROC Curve Antibodies, Monoclonal Amino Acids Hydrophobic and Hydrophilic Interactions Chromatography Sequence Analysis, Protein Immunoglobulin Variable Region
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