Computational Chemistry and Chemical Data

Compute Molecules, Interpret Data

Two connected tracks cover the calculation of three-dimensional structures and electronic states, and the comparison and modeling of chemical structures as data.

Track A

Structure and Electronic-Structure Calculations

Prepare molecular structures, calculate energies and wavefunctions, explore reaction paths, and analyze three-dimensional fields.

StructurexTBQuantum chemistryPathsCubeReal space

Track B

Cheminformatics and Data Analysis

Standardize chemical structures, construct fingerprints and descriptors, and use statistical models to interpret chemical trends.

IdentitySearchFeaturesRegression / PCASHAP

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Filter the chapters below by software, method, or analysis term.

Track B

Cheminformatics and Data Analysis

Treat identity, search, feature matrices, statistical models, and steric descriptors as one reproducible workflow.

  1. B1RDKit: cheminformaticsInChIKey, fingerprints, Gasteiger charges, SMARTS
  2. B2NumPy, scikit-learn, SHAPMatrices, regularized regression, PCA, interpretation
  3. B3Steric descriptors and 3D fieldsSterimol, %Vbur, steric maps, selectivity

Connection

Connecting the Two Tracks

StageStructure and electronic stateData analysis
DefinitionConformer, charge, spin, theory levelStandardization, target, units, split
RepresentationCoordinates, wavefunction, density, cubeDescriptors, fingerprints, fields, matrices
AnalysisEnergy, paths, real-space functionsRegularized regression, PCA, SHAP
InterpretationInteractions and electronic-state changesStatistical relationships with selectivity
Unit of reproducibility

Save not only structures and calculation settings, but also structure-standardization rules, feature definitions, data splits, and preprocessing.