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Cheminformatics Course

Cheminformatics Course
flexible workload of 4 to 360h
valid certificate in your country

What will I learn?

Gain hands-on skills in curating QSAR datasets, standardising molecular structures, removing duplicates, unifying activity units, fetching public bioactivity data, calculating key descriptors, developing validated models for small datasets, analysing feature importance, and designing reproducible experiments for better chemical research.

Elevify advantages

Develop skills

  • Curate QSAR datasets by cleaning structures, standardising units, and creating reliable small sets.
  • Retrieve bioactivity data confidently from ChEMBL, PubChem, and DrugBank.
  • Compute molecular descriptors including 2D fingerprints and vital ADME properties quickly.
  • Build and validate QSAR models using cross-validation, metrics, and feature selection.
  • Interpret models to link features with chemical design and prioritise novel compounds.

Suggested summary

Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students say

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Very great course. Lots of rich information.
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