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Learn CADD

Learn Computer-Aided Drug Design from First Principles

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

Learn at the level that fits you

The same scientific content supports a guided first pass or a focused refresher.

New to CADD

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.

Refreshing concepts

Jump directly to the topic you need

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

CADD from first principles

Build the conceptual foundation before moving into tool-specific and cross-disciplinary practice.

1

Introduction to Drug Discovery

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 min
2

Target Identification, Validation & Druggability

Choose the right target before modelling anything. Explore target classes, the evidence chain for target validation, binding-site detection, druggability scoring, and polypharmacology.

25 min
3

Fundamentals of Ligand-Receptor Interactions

Explore the thermodynamic basis of binding, molecular recognition models, non-covalent interactions, and affinity-efficiency metrics used in medicinal chemistry.

35 min
4

Molecular Mechanics & Force Fields

Master the physics engine behind docking and MD: the force field energy decomposition, bonded and non-bonded terms, parameterization, energy minimization, and conformational analysis.

30 min
5

Cheminformatics & Molecular Representations

Master chemical graph representation, SMILES/SMARTS/InChI, fingerprints and similarity, matched molecular pairs, activity cliffs, bioisosteres, and chemical-data standardization.

35 min
6

Molecular Docking

Understand conformational search algorithms, scoring functions, pose validation, covalent docking, PROTAC ternary complexes, and receptor flexibility.

35 min
7

Pharmacophore Modeling

Define pharmacophore features, distinguish ligand-based vs. structure-based models, and explore scaffold hopping.

25 min
8

Virtual Screening Strategies

Master ligand- and structure-based screening, database preparation, multi-stage cascades, assay-interference triage, and statistical evaluation.

25 min
9

QSAR Modeling & AI Interpretation

Learn Hansch and 3D-QSAR foundations, machine-learning workflows, imbalanced-class evaluation, applicability domains, model interpretation, and deep learning architectures.

40 min
10

Molecular Dynamics & Free Energy Methods

Simulate 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 min
11

De Novo & Generative Molecular Design

Design 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 min
12

In Silico ADMET & Safety Assessment

Profile 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 min

Applied extensions

From concepts to research practice

These modules cover the structural, computational, pharmacokinetic, biologics, and systems-level material used in real projects.