Toxicology & Computational Biology
A focused 6-week research programme combining regulatory hazard science, AI-driven structural docking, ADMET profiling, and systems biology network mapping — culminating in a computational capstone and forensic field visit.
From Regulatory Science to AI-Driven Workflows
Six modules replace generic lectures with hands-on computational modelling pipelines. Move from OECD safety validations to AlphaFold 3 protein structures, PPI networks, and a forensic toxicology site visit.
Regulatory Toxicology
OECD Test Guidelines, ICH parameters, New Approach Methodologies (NAMs), 3Rs principles, and modern hazard & risk assessment frameworks.
AI & Computational Biology
Protein structural formats, target refinement, molecular docking algorithms, generative structure predictors, and ML-based ADMET profiling.
Network & Systems Biology
Protein-protein interaction databases, topological network analysis, target hub identification, and gene ontology pathway enrichment mapping.
Research & Biostatistics
AI-aided literature screening, scientific writing pipelines, GraphPad Prism analysis, statistical curve fitting, and publication-ready figures.
Virtual Toxicology Lab
Interactive toxicity simulations, virtual cytotoxicity assays, cellular viability metrics, enzyme activity evaluations, and structured lab reporting.
Forensic Toxicology & Field Visit
A 2-day immersive field programme covering analytical autopsy workflows, forensic chemistry, sample collection protocols, and analytical instrumentation.
The Molecular Pipeline, Visualised
Your capstone connects structural biology, docking, safety prediction and systems biology into one applied workflow.
Target
Retrieve or predict a protein structure.
Dock
Test candidate ligands computationally.
ADMET
Screen absorption, distribution, metabolism & toxicity.
Network
Build PPI networks around the target.
Pathway
Map biological pathways and enrichment.
Present
Analyse results and defend the mini-project.
Learn the stack. Build the model. Own the result.
Not just a certificate — a compact, practical introduction to computational workflows behind modern drug discovery and toxicology validation.
6 Weeks. One Focused Roadmap.
Regulatory Landscape
OECD safety standards, global regulatory directives, NAMs, and the 3Rs framework. Understand chemical risk and hazard assessment workflows.
Virtual Lab & PDB Data
Execute in silico cytotoxicity and viability assays. Fetch, clean, and align structural files from the Protein Data Bank.
Docking & AI Predictions
Configure receptor docking using AutoDock Vina. Run predictive structures with AlphaFold 3 and ESMFold.
Generative Docking & ADMET
Optimise ligand binding using DiffDock-L. Run safety profiling with SwissADME and ADMETlab 3.0.
Systems Network Biology
Construct target-protein interaction networks in Cytoscape, mapping pathways with STRING, KEGG, and DAVID.
Biostatistics & Field Immersion
Statistical curve fits on GraphPad Prism, draft paper reports, and attend the 2-day forensic lab visit.
Work with tools used across modern computational biology.
Work directly with the software, web servers, databases, and analysis platforms utilized in industrial and academic R&D.
* Most platforms are free/browser-based; PyMOL and AutoDockTools require local installation and a stable internet connection as guided during programme setup.
Skills That Translate Into Research & Industry
Explain
Regulatory toxicological safety assessments, OECD standards, and NAM validation principles.
Execute
In silico toxicology pipelines, protein structure alignment, and AutoDock molecular screenings.
Predict
AI-based binding modes, target affinity scores, and clinical ADMET pharmacology parameters.
Map
Complex molecular interaction networks, pathway cascades, and functional clusters.
Analyse
Scientific data using biostatistics software and generate publication-ready graphic figures.
Present
A target-ligand toxicology capstone report with computational evidence and slide presentation.
Full Programme: ₹3,499+ GST
- Comprehensive 6-week structured syllabus
- 4-credit programme structure documentation
- Practical workflows using modern bioinformatics
- Target-ligand computational capstone project
- Forensic toxicology field visit & lab training
- Formal validation credentials on completion
* Enrolment criteria should be finalised prior to admission. The forensic site visit is subject to host laboratory schedules and institutional clearances.
Admissions Closed · Cohort Full
Current Cohort Seats Filled·Next Cohort Opening Soon
Notice: Enrolment for this cohort of the Toxicology & Computational Biology Research Internship has officially reached maximum capacity.
Fee payments and new registrations for the current batch are now closed. If you have questions regarding your existing enrolment or future cohort openings, please reach out to customer care.