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DSTC-01628 Online (e-LMS) Foundation

Quantum Computing Applications in Biology & Drug Discovery

by - DSTC

Master Quantum Computing Applications in Biology & Drug Discovery in 4 weeks through hands-on, project-based online training with DSTC.

★★★★★ Be the first to review 3 Days · 4.5 hrs e-Certificate Included
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From ₹2,500 + GST

Programme Parameters

Educational Level:
Foundation
Duration & Workload:
3 Days (4.5 Hrs)
Delivery Mode:
Online (e-LMS)
Prerequisites:
• 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

Biological systems and drug discovery involve highly complex molecular interactions that are often computationally expensive to simulate using classical computers. Challenges such as accurate protein folding prediction, quantum-level chemical reaction modeling, and large-scale compound screening demand new computational paradigms. Quantum computing offers a transformative approach by leveraging quantum mechanics to process information in fundamentally new ways, enabling faster simulation of molecular systems and improved optimization strategies. Across 4 Weeks, you will work hands-on with accurate protein folding prediction and quantum-level chemical reaction modeling, then consolidate everything in a capstone project. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.

🎯 Program Aim

Biological systems and drug discovery involve highly complex molecular interactions that are often computationally expensive to simulate using classical computers. Challenges such as accurate protein folding prediction, quantum-level chemical reaction modeling, and large-scale compound screening demand new computational paradigms. Quantum computing offers a transformative approach by leveraging quantum mechanics to process information in fundamentally new ways, enabling faster simulation of molecular systems and improved optimization strategies.

📋 Course Objectives

1. Gain working command of accurate protein folding prediction.
2. Develop hands-on skill in quantum-level chemical reaction modeling.
3. Translate biotechnology theory into practical, reproducible analysis.
4. Assemble a documented case study that evidences your applied capability.

👥 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
• Data and computational scientists moving into accurate protein folding prediction

🚀 Key Learning Outcomes

• Confidence to reason about accurate protein folding prediction in real projects.
• Confidence to apply quantum-level chemical reaction modeling in real projects.
• A demonstrable biotechnology project for your research or industry portfolio.
• 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 recordings
🎓

e-Certificate on Completion

Cryptographically verified credential
💬

Post-Programme Support

Direct access to mentors & council
💻

Hands-On Experience

Notebooks, real-world code & datasets

Curriculum Outline

Module 1 Foundations

Quantum Computing Essentials

• Qubits, superposition, entanglement and measurement
• Gate model circuits and the role of interference in algorithms
• NISQ-era hardware: coherence times, error rates and what they permit

Module 2 Chemistry

Electronic Structure on Quantum Hardware

• The molecular Hamiltonian and qubit mappings
• Variational quantum eigensolver and ansatz design
• Comparison against classical methods and current resource requirements

Module 3 Optimisation

Combinatorial Problems in Biology

• QAOA and annealing formulations for protein folding and docking problems
• Encoding biological constraints into QUBO form
• Benchmarking honestly against strong classical heuristics

Module 4 Machine Learning

Quantum and Hybrid Models

• Quantum kernels and variational classifiers on molecular data
• Hybrid quantum-classical workflows
• Barren plateaus and other practical training obstacles

Module 5 Assessment

Reading the Field Critically

• Resource estimation for fault-tolerant advantage in chemistry
• Evaluating vendor and paper claims of quantum advantage
• Where the realistic near-term contribution to drug discovery lies

Technical Specifications

ParameterRequirement
Covered Tool / PlatformAutoDock Vina
Covered Tool / PlatformPyRx
Covered Tool / PlatformSchrödinger Suite
Covered Tool / PlatformGROMACS
Covered Tool / PlatformChemDraw
Covered Tool / PlatformDiscovery Studio
Covered Tool / PlatformADMET Predictor

Frequently Asked Questions

This is an Recorded Lectures (Self-Paced) course delivered via our e-LMS platform. You will have access to pre-recorded video lectures, reading materials, assignments, quizzes, and hands-on projects that you can complete at your own pace.

Yes! Upon successful completion of all modules, assignments, and assessments, you will receive an e-Certification along with an e-Marksheet from DSTC (DSTC) that you can showcase on your CV and LinkedIn profile.

No prior experience is required. This course is designed for beginners and takes you step by step from the basics to advanced topics.

You will have access to all course materials for the duration of 3 Days ( 1.5 Hours Per Day). The self-paced format allows you to learn according to your own schedule through our online learning management system.

Yes, dedicated mentor support is available throughout the course. You can reach out for doubt-clearing sessions, project guidance, and career advice related to Drug Discovery & Design. Our mentors are industry experts and experienced professionals. Enroll in Quantum Computing Applications in Biology & Drug Discovery today and take the next step in your professional journey. With expert-curated content, practical projects, and industry-recognized certification, this course is your gateway to mastering Drug Discovery & Design skills that matter.

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