AI Medical Compendium Journal:
Current drug metabolism

Showing 11 to 17 of 17 articles

Recent Advances in Machine Learning Methods for Predicting Heat Shock Proteins.

Current drug metabolism
BACKGROUND: As molecular chaperones, Heat Shock Proteins (HSPs) not only play key roles in protein folding and maintaining protein stabilities, but are also linked with multiple kinds of diseases. Therefore, HSPs have been regarded as the focus of dr...

Machine Learning in Quantitative Protein-peptide Affinity Prediction: Implications for Therapeutic Peptide Design.

Current drug metabolism
BACKGROUND: Protein-peptide recognition plays an essential role in the orchestration and regulation of cell signaling networks, which is estimated to be responsible for up to 40% of biological interaction events in the human interactome and has recen...

The Development of Machine Learning Methods in Cell-Penetrating Peptides Identification: A Brief Review.

Current drug metabolism
BACKGROUND: Cell-penetrating Peptides (CPPs) are important short peptides that facilitate cellular intake or uptake of various molecules. CPPs can transport drug molecules through the plasma membrane and send these molecules to different cellular org...

Targeting Virus-host Protein Interactions: Feature Extraction and Machine Learning Approaches.

Current drug metabolism
BACKGROUND: Targeting critical viral-host Protein-Protein Interactions (PPIs) has enormous application prospects for therapeutics. Using experimental methods to evaluate all possible virus-host PPIs is labor-intensive and time-consuming. Recent growt...

Recent Advances in the Machine Learning-Based Drug-Target Interaction Prediction.

Current drug metabolism
BACKGROUND: The identification of drug-target interactions is a crucial issue in drug discovery. In recent years, researchers have made great efforts on the drug-target interaction predictions, and developed databases, software and computational meth...

Survey of Machine Learning Techniques in Drug Discovery.

Current drug metabolism
BACKGROUND: Drug discovery, which is the process of discovering new candidate medications, is very important for pharmaceutical industries. At its current stage, discovering new drugs is still a very expensive and time-consuming process, requiring Ph...