Chemizen LabsRegister
WORKSHOPS & INTERNSHIPS

Learn by doing.
Understand by exploring.

Online practical training in network pharmacology, molecular docking and computational drug discovery, with Chemizen Labs, Karnataka.

HANDS-ON LEARNING

Two ways to build
your research skills.

For UG and PG students, research scholars, faculty and professionals in pharmacy, biotechnology and life sciences.

01
2-week workshop

Network Pharmacology & CADD

Connect compounds, targets and pathways, then work through molecular docking and property prediction. A practical introduction to computational methods used in pharmaceutical research.

  • Network pharmacology · STRING · Cytoscape · KEGG
  • Molecular docking · Discovery Studio · PyMOL
  • Target prediction · PASS · ADME & toxicity
  • Structure preparation · Open Babel · ChemSketch · Avogadro

Brochure cohort: 17–30 September 2026. Contact us for future intake dates and availability.

Ask about this programme
02
1-month internship · 12 lectures

Molecular Docking & Drug Discovery

Follow a computational drug-discovery workflow from biological databases and structure prediction to virtual screening, binding analysis and research reporting.

  • Bioinformatics & biological databases
  • Structure prediction with SWISS-MODEL
  • Virtual screening with AutoDock 4 / AutoDock Vina
  • ADMET · PyMOL · UCSF Chimera · Discovery Studio

Brochure cohort: 17 September–16 October 2026. Contact us for future intake dates and availability.

Ask about this programme

Live online sessions, access to recordings, and an e-certificate on successful completion, as described in the brochure.

View training brochure
BEFORE YOU JOIN

Who can join?

UG and PG students, research scholars, PhD scholars, faculty and industry professionals in pharmacy, biotechnology and life sciences.

Session format

Live online training with practical software workflows. The internship brochure specifies Google Meet. Recordings are provided for the programme duration; an e-certificate is issued on successful completion.

Fees & next intake

The September 2026 brochures list standard fees of ₹600 for UG/PG students and ₹800 for researchers, faculty and industry participants. Those cohort dates and early-registration deadlines are not a current offer. Please confirm the next batch, fee and timetable before registering.

Prepare your laptop

Ask for the software list and setup instructions for your chosen programme. The two tracks use different combinations of molecular viewers, docking software and online databases.