AIMC Topic: Hydrophobic and Hydrophilic Interactions

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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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