Systems biology integrates genes, proteins, metabolites, pathways and molecular networks to understand how biological systems function and respond to perturbations. Learn how pathway analysis and multi-omics reveal complex biological mechanisms.
Drug-target interactions describe how drugs bind and modulate biological targets, while polypharmacology examines how a single drug can affect multiple proteins and pathways. Explore molecular binding, target selectivity, off-target effects and computational approaches to drug discovery.
Binding free-energy calculations use thermodynamic and molecular simulation methods to estimate how strongly ligands bind proteins. Learn about MM-GBSA, MM-PBSA, FEP, thermodynamic integration, sampling, validation and applications in drug discovery.
Molecular dynamics simulations use computational models to study how proteins, ligands, water and other molecules move over time. Learn how molecular dynamics reveals protein flexibility, binding-site dynamics, molecular interactions, allostery and drug-binding behavior.
Structure-based drug design uses three-dimensional protein structures to guide the discovery and optimization of drug candidates. Learn how binding sites, molecular interactions, docking, structural biology and medicinal chemistry work together in modern drug discovery.
Virtual screening uses computational methods to search large chemical libraries and identify compounds that may interact with biological targets. Learn how docking, pharmacophore screening, chemical similarity, QSAR and machine learning support drug discovery.