Cheminformatics Course
This course provides practical training in cheminformatics for QSAR modeling, covering data curation, bioactivity retrieval, descriptor computation, model building, validation, and chemical interpretation to enable reliable predictive modeling and experimental design.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Cheminformatics Course equips you with hands-on skills to prepare small QSAR datasets, standardise molecular structures, eliminate duplicates, and unify activity measurements for dependable analysis. You'll discover how to access and sift through public bioactivity information, calculate and choose relevant descriptors, construct and check sturdy models for scarce data, analyse feature significance, and devise targeted experimental pursuits using completely repeatable processes.
Elevify advantages
Develop skills
- Curate QSAR data: clean structures, harmonise units, and build robust small sets.
- Retrieve bioactivity data: mine ChEMBL, PubChem, and DrugBank with confidence.
- Compute molecular descriptors: generate 2D fingerprints and key ADME properties fast.
- Build and validate QSAR models: apply CV, metrics, and feature selection correctly.
- Interpret models chemically: map features to design ideas and prioritise new analogs.
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.What our students say
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