Programme Parameters
Foundation
3 Days (4.5 Hrs)
Online (e-LMS)
• No prior experience required — basic computer literacy is sufficient.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.
About This Course
Biocatalysis is transforming modern biotechnology by enabling greener, more selective, and energy-efficient chemical transformations. Enzymes are widely used in pharmaceuticals, food, fine chemicals, biofuels, and sustainable manufacturing. However, successful biocatalytic development requires more than enzyme discovery—it demands quantitative kinetic evaluation, performance benchmarking, and rational optimization of reaction conditions for productivity and robustness. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
Biocatalysis is transforming modern biotechnology by enabling greener, more selective, and energy-efficient chemical transformations. Enzymes are widely used in pharmaceuticals, food, fine chemicals, biofuels, and sustainable manufacturing. However, successful biocatalytic development requires more than enzyme discovery—it demands quantitative kinetic evaluation, performance benchmarking, and rational optimization of reaction conditions for productivity and robustness.
📋 Course Objectives
1. Put biotechnology techniques to work on real datasets and case studies.
2. Produce a reproducible, portfolio-ready project you can cite in a thesis, paper, or job application.
👥 Who Should Enroll?
• Master's and senior undergraduate students specializing in biotechnology
• R&D engineers and working professionals applying biotechnology in industry
• Academics and educators building research or teaching capacity in biotechnology
🚀 Key Learning Outcomes
• A portfolio-grade biotechnology deliverable you can defend and extend.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
💎 What You'll Gain
Live & Recorded Sessions
Lifetime access to class recordingse-Certificate on Completion
Cryptographically verified credentialPost-Programme Support
Direct access to mentors & councilHands-On Experience
Notebooks, real-world code & datasetsCurriculum Outline
Measuring Enzyme Performance
• Michaelis-Menten parameters and the initial-rate conditions they require
• Fitting by nonlinear regression rather than Lineweaver-Burk linearisation
• kcat over Km as the catalytic efficiency figure that permits comparison
What Slows the Reaction Down
• Competitive, uncompetitive and mixed inhibition distinguished experimentally
• Substrate and product inhibition as the usual industrial bottleneck
• Solvent, pH and temperature effects on both rate and stability
Operational Robustness
• Thermal and operational half-life measured under process conditions
• Immobilisation on carriers, cross-linked aggregates and diffusion limitation
• Enzyme reuse cycles and the total turnover number that decides economics
Improving the Catalyst
• Directed evolution and rational design and when each is appropriate
• Screening throughput as the true constraint on any evolution campaign
• Computational design tools and their realistic hit rates
From Assay to Reactor
• Space-time yield, biocatalyst yield and E-factor as the reported metrics
• Batch, fed-batch and continuous flow configurations
• Mass transfer, mixing and the reasons bench kinetics fail to scale
Technical Specifications
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Python |
| Covered Tool / Platform | Jupyter Notebook |
| Covered Tool / Platform | Google Colab |
| Covered Tool / Platform | Microsoft Excel |
| Covered Tool / Platform | Relevant Online Databases |
Frequently Asked Questions
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