Marsupials are mammals known for their distinctive reproductive strategy and, in many species, a pouch for developing young. Explore their characteristics, reproduction, habitats, diets, adaptations, evolution, and conservation.
Monotremes are unusual egg-laying mammals that include the platypus and echidnas. Discover their unique reproduction, anatomy, diet, habitats, adaptations, sensory abilities, evolution, and conservation.
Mammal classification organizes thousands of species into groups based on evolutionary relationships and shared characteristics. Learn about monotremes, marsupials, placental mammals, orders, families, genera, species, and mammal taxonomy.
Mammals share distinctive biological characteristics that separate them from other vertebrates. Learn about hair, milk production, endothermy, teeth, skeletons, lungs, reproduction, sensory systems, and other key mammalian features.
Mammals are a diverse group of vertebrate animals found in nearly every environment on Earth. Explore their characteristics, classification, habitats, anatomy, behavior, reproduction, evolution, adaptations, and conservation.
Spatial omics and spatial biology preserve the location of molecular information within tissues, connecting genomics, transcriptomics, proteomics and metabolomics with cellular organization, tissue architecture and biological function.
Single-cell multi-omics integrates multiple molecular layers at the level of individual cells to reveal cellular heterogeneity, regulatory states, disease mechanisms, developmental trajectories, cell-cell interactions and drug responses.
Multi-omics integration combines genomics, transcriptomics, proteomics, metabolomics and other molecular datasets to reveal relationships between genes, proteins, metabolites, pathways and biological phenotypes.
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.
Network pharmacology examines how drugs interact with interconnected molecular targets, signaling pathways and biological networks. Learn how drug-target networks, protein interactions, pathway analysis and multi-omics help explain drug action and disease 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.
