✉ ceo_biopharma@outlook.com☎ +91 94438 22120LinkedInZotero Publications
Education

Training & Workshops

Programs that equip students and researchers with practical skills in computational biology, AI drug discovery and bioinformatics.

Curriculum

Training Modules

Structured learning from fundamentals to advanced techniques.

  • Introduction to Drug Discovery & CADD
  • Protein Structure Analysis & Preparation
  • Molecular Docking (AutoDock Vina)
  • Molecular Dynamics Simulation (GROMACS)
  • Network Pharmacology & Pathway Analysis
  • AI & Machine Learning in Drug Discovery
  • Bioinformatics & Genomics Data Analysis
  • Scientific Writing & Publication Support
Programs

Training Programs

01

Computational Drug Design Certification

8-week certification covering docking, MD simulation, network pharmacology, AI and bioinformatics with real research projects and publication support.

OnlineCertificate
02

Bioinformatics Research Training

4-week training in genomics data analysis, multi-omics integration and precision medicine workflows.

03

AI in Drug Discovery Workshops

2-day hands-on workshops on machine learning, deep learning and Python pipelines.

04

Institutional Training Programs

Custom training for universities and research institutes, on-site or online, with certification.

Workshops

Workshops

01

Molecular Docking Masterclass

AutoDock Vina, Glide and PyMOL: protein prep to binding pose analysis and publication-ready figures.

2 Days
02

GROMACS MD Simulation Workshop

System setup, minimization, equilibration, production runs and RMSD, RMSF and H-bond analysis.

3 Days
03

Network Pharmacology Workshop

Compound–target–disease networks with Cytoscape, STRING and GEO; GO and KEGG enrichment.

1 Day
04

AI & Python for Drug Discovery

Python ML for virtual screening, QSAR and property prediction using RDKit, scikit-learn and TensorFlow.

2 Days

Start Your Learning Journey

Enquire about the next training cohort or an institutional program.

ceo_biopharma@outlook.com | +91 94438 22120 | LinkedIn