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Self Paced

Quantum Computing in Protein Design

Unleash the Power of Quantum Computing to Revolutionize Protein Design.

Enroll now for early access of e-LMS

MODE
Online/ e-LMS
TYPE
Self Paced
LEVEL
Moderate
DURATION
1 Month

About

Quantum computing holds immense potential to transform computational biology, particularly in protein design, which is essential for drug discovery, enzyme engineering, and understanding biological processes. This program introduces participants to the principles of quantum computing and its applications in protein structure prediction, exploring how quantum algorithms provide superior speed and accuracy over classical computing methods.
Throughout this 1-month program, participants will delve into real-world case studies showcasing the use of quantum computers to solve complex biological problems. The program equips professionals with a futuristic skill set that merges quantum computing with bioinformatics and molecular biology.

Aim

This program aims to explore the intersection of quantum computing and protein design, focusing on how quantum algorithms can be leveraged to revolutionize the field of molecular biology. Participants will learn how quantum computing accelerates protein folding predictions, molecular interactions, and drug design processes.

Program Objectives

  • Understand the fundamental principles of quantum computing.
  • Explore the applications of quantum computing in protein folding and molecular design.
  • Gain hands-on experience with quantum algorithms and platforms.
  • Apply quantum techniques to accelerate drug discovery and enzyme engineering.
  • Analyze real-world case studies in quantum-assisted biological research.

Program Structure

Week 1: Introduction to Quantum Computing and Protein Design

  • Overview of Quantum Computing: Concepts, Qubits, and Quantum Gates.
  • Protein Design: Understanding Protein Structure and Function.
  • Basics of Protein Folding and Molecular Simulations.
  • Introduction to Quantum Algorithms for Biological Applications.

Week 2: Quantum Algorithms in Protein Folding

  • Quantum Optimization for Protein Folding: Methods and Tools.
  • Applying Quantum Algorithms for Molecular Interactions.
  • Hands-on with Quantum Programming: Qiskit and Protein Folding Simulations.
  • Case Study: Quantum Computing in Drug Design.

Week 3: Advanced Applications in Molecular Design

  • Quantum Machine Learning for Protein Design.
  • Quantum Circuits for Molecular Dynamics and Protein Interactions.
  • Exploring Enzyme Engineering through Quantum Computing.
  • Data Analysis of Quantum Simulations in Drug Discovery.

Week 4: Future of Quantum Computing in Biology

  • Innovations in Quantum-Assisted Molecular Modeling.
  • Exploring Quantum Computing in Personalized Medicine.
  • Real-World Examples of Quantum Applications in Protein Engineering.
  • Preparing for a Career in Quantum Bioinformatics and Drug Discovery.

Participant’s Eligibility

  • Undergraduate degree in Computer Science, Molecular Biology, Bioinformatics, or related fields.
  • Professionals in biotechnology, pharmaceutical, or computational research.
  • Individuals with a keen interest in quantum computing and its applications in biology.

Program Outcomes

  • In-depth understanding of quantum computing principles.
  • Ability to apply quantum algorithms to protein folding and molecular interactions.
  • Practical skills in using quantum programming platforms.
  • Insights into real-world applications in drug discovery and bioinformatics.
  • Enhanced problem-solving abilities in complex biological computations.

Fee Structure

Standard Fee:           INR 4,998           USD 110

Discounted Fee:       INR 2499             USD 55

We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!

List of Currencies

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Key Takeaways

Program Assessment

Certification to this program will be based on the evaluation of following assignment (s)/ examinations:

Exam Weightage
Mid Term Assignments 50 %
Project Report Submission (Includes Mandatory Paper Publication) 50 %

To study the printed/online course material, submit and clear, the mid term assignments, project work/research study (in completion of project work/research study, a final report must be submitted) and the online examination, you are allotted a 1-month period. You will be awarded a certificate, only after successful completion/ and clearance of all the aforesaid assignment(s) and examinations.

Program Deliverables

  • Access to e-LMS
  • Real Time Project for Dissertation
  • Project Guidance
  • Paper Publication Opportunity
  • Self Assessment
  • Final Examination
  • e-Certification
  • e-Marksheet

Future Career Prospects

  • Quantum Bioinformatics Specialist
  • Protein Design Researcher
  • Quantum Computing Engineer in Biotech
  • Drug Discovery Scientist
  • Computational Biologist
  • Molecular Modeling Expert

Job Opportunities

  • Quantum Computing Researcher in pharmaceutical companies.
  • Bioinformatics Scientist in protein design firms.
  • Drug Discovery Engineer utilizing quantum algorithms.
  • Protein Modeling Expert in biotech startups.
  • Quantum Computing Developer for molecular simulations.

Enter the Hall of Fame!

Take your research to the next level!

Publication Opportunity
Potentially earn a place in our coveted Hall of Fame.

Centre of Excellence
Join the esteemed Centre of Excellence.

Networking and Learning
Network with industry leaders, access ongoing learning opportunities.

Hall of Fame
Get your groundbreaking work considered for publication in a prestigious Open Access Journal (worth ₹20,000/USD 1,000).

Achieve excellence and solidify your reputation among the elite!


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Marina Nadales : 2024-12-03 at 2:27 am

Thanks


Dr. Mikhlid Hammad Almutairi : 2024-12-02 at 10:09 pm

The mentor was very knowledgeable and provided clear and useful information. I appreciate his More approach and ability to explain complex concepts simply.
Roman Blažek : 2024-11-27 at 1:11 pm

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