Follow the core modules in order
Use the default Learn view, pause at equations and worked examples, try each playground, and finish with the knowledge check before continuing.
An interactive, visual guide to CADD — from biological evidence and the physics of binding to generative design, DMPK, and reproducible workflows.
Follow 12 core modules, then apply them through structural bioinformatics, workflow automation, pharmacokinetics, protein modeling, and systems biology.
Choose your path
The same scientific content supports a guided first pass or a focused refresher.
Use the default Learn view, pause at equations and worked examples, try each playground, and finish with the knowledge check before continuing.
Switch lessons to Review view for faster scanning, use the playgrounds to test your intuition, then move into the applied extensions for research workflows.
Core curriculum
Build the conceptual foundation before moving into tool-specific and cross-disciplinary practice.
Learn the stages of the drug discovery and development pipeline, key terminology (hit, lead, candidate), hit-finding strategies including DNA-encoded libraries, and the undruggable proteome.
25 minChoose the right target before modelling anything. Explore target classes, the evidence chain for target validation, binding-site detection, druggability scoring, and polypharmacology.
25 minExplore the thermodynamic basis of binding, molecular recognition models, non-covalent interactions, and affinity-efficiency metrics used in medicinal chemistry.
35 minMaster the physics engine behind docking and MD: the force field energy decomposition, bonded and non-bonded terms, parameterization, energy minimization, and conformational analysis.
30 minMaster chemical graph representation, SMILES/SMARTS/InChI, fingerprints and similarity, matched molecular pairs, activity cliffs, bioisosteres, and chemical-data standardization.
35 minUnderstand conformational search algorithms, scoring functions, pose validation, covalent docking, PROTAC ternary complexes, and receptor flexibility.
35 minDefine pharmacophore features, distinguish ligand-based vs. structure-based models, and explore scaffold hopping.
25 minMaster ligand- and structure-based screening, database preparation, multi-stage cascades, assay-interference triage, and statistical evaluation.
25 minLearn Hansch and 3D-QSAR foundations, machine-learning workflows, imbalanced-class evaluation, applicability domains, model interpretation, and deep learning architectures.
40 minSimulate time-dependent trajectories, analyze RMSD/RMSF/Rg/SASA, apply enhanced sampling, compute binding free energies with MM/GBSA and FEP, and explore machine-learned force fields.
40 minDesign molecules instead of searching for them. Master the three pillars of generative design — construction, scoring, and search — plus 3D diffusion models and multi-objective Pareto optimization.
35 minProfile oral drug-likeness with Lipinski's Rule of Five and Veber's rules, then predict cardiotoxicity (hERG), hepatotoxicity (DILI), and mutagenicity (Ames) using machine learning, interpreting alerts with SHAP explainability.
30 minApplied extensions
These modules cover the structural, computational, pharmacokinetic, biologics, and systems-level material used in real projects.
Connect sequence to structural hierarchy, then select, interpret, prepare, and validate experimental, predicted, or comparative biomolecular structures using PDB/mmCIF records and molecular viewers.
20 minBuild auditable chemical-data, docking, MD, ML, KNIME, Python, and HPC pipelines with explicit provenance, validation, and failure checks.
25 minConnect molecular properties to absorption, distribution, metabolism, excretion, exposure, clearance, dosing, and modality-aware PK design.
25 minModel flexible protein interfaces, antibody paratopes, multispecific architectures, and developability risks using ensemble and evidence-driven methods.
20 minIntegrate omics, interaction networks, pathways, perturbation data, and chemical-biology evidence into target selection and CADD project design.
20 minInterpret biological databases, pairwise and multiple alignments, BLAST searches, sequence profiles, phylogenetic trees, and genomic context for CADD decisions.
20 min