Exclusive COMPUTATIONAL DRUG DESIGN 7 Days Hands-On Internship + LIVE Project

Are you passionate about advancing in the field of drug discovery and development? Do you want to harness the power of computational tools to revolutionize the way drugs are designed? If so, our Computational Drug Design Hands-On Internship is tailor-made for you.

Course Overview:

• Date: 22, 23, 24, 25, 26, 27, and 28 Sep.
• Time: 6 pm to 7 pm
• Duration: 7 Days Course
• Mode: The workshop will be conducted online via Zoom so that participants can attend from the comfort of their homes or offices.

What You Will Learn:

Throughout this intensive 7-day hands-on Internship, you will delve into the following key areas:

• Protein Structure: Understand the fundamentals of protein structure prediction, homology modeling, and visualization using PyMOL. Learn how to prepare and validate protein models.

• Molecular Docking: Explore the principles of molecular docking and modeling and discover their applications in drug discovery.

• Pre-Docking Preparation: Gain expertise in protein and ligand preparation, file conversion, and binding site identification.

• Grid Box Preparation: Learn the intricacies of grid box preparation and configuration file preparation, which are essential for molecular docking studies.

• Protein-Ligand Docking and Interaction: Dive into the world of docking software like AutoDock and Vina. Understand docking algorithms, scoring functions, and the intricacies of protein-ligand interactions.

• Drug Screening Assignment: Apply your newly acquired knowledge to a real-world drug screening assignment, where you'll put your skills to the test.

• Assignment Evaluation: Receive valuable feedback on your drug screening assignment, ensuring you're on the right track.

Course Structure:

Day 1 - Protein Structure

• Introduction to Protein Structure Prediction
• Homology Modeling and Comparative Modeling
• Protein Structure Visualization using PyMOL
• Models Preparation and Validation by PROCHECK and SPDVB

Day 2 - Docking and Program Installation

• Principles of Molecular Docking and Modeling
• Applications of Computational Docking and Modeling

Day 3 - Pre-Docking Preparation - 1

• Protein and Ligand Preparation
• Conversion of Files in PyMol and AutoDock
• Binding Site Identification

Day 4 - Pre-Docking Preparation - 2

• Grid Box Preparation
• Configuration File Preparation
• Analysis

Day 5 - Protein-Ligand Docking and Interaction

• Introduction to Docking Software (e.g., AutoDock, Vina)
• Docking Algorithms and Scoring Functions
• Introduction to Protein-Ligand Interactions

Day 6 - Drug Screening Assignment

• Apply your knowledge to a real-world drug screening assignment.

Day 7 - Assignment Evaluation

• Receive feedback and evaluation of your drug screening assignment.

About Growdea Technologies

Growdea Technologies is at the forefront of empowering In-Silico Drug Discovery and Computational Biology Services. Their journey commenced in 2018 at the prestigious Indian Institute of Technology, Delhi, where they fostered strong ties that continued to enrich their expertise.

Their core mission is to streamline scientific and clinical research by developing cutting-edge tools and algorithms in AI/ML for biology and related scientific fields. 

Instructors Details:

1. Dr. Avinash Mishra, Growdea Technologies

   • Dr. Mishra is a researcher-entrepreneur leading a team in the computational biology field, specializing in Drug Discovery.
   • His primary aim is to empower experimental biologists with advanced computational tools, elevating the quality of their research.
   • He is dedicated to advancing scientific discovery in pursuit of groundbreaking innovations.
     
     

2. Dr. Isha Srivastava, Growdea Technologies

   • Isha Srivastava is a dynamic R&D and Edtech startup enthusiast who serves as the Business Development Manager at Growdea Technologies.
   • She orchestrates the company’s growth in the academic and biotech/pharma sectors, leveraging her expertise in bioinformatics.
   • She has a notable track record of authoring research publications and international journal chapters in the field of Bioinformatics.
     
     

3. Dr. Sunita Gupta, Consultant, Growdea Technologies

   • She is a computational chemist and structural biologist with several years of experience in industry and academic research.
   • Proficient in computer-aided drug discovery (CADD), Molecular Dynamics (MD) Simulation of bio-molecules mostly protein-protein, protein-ligand, and protein-nucleotide complexes with analytical skills.
   • Expert in computationally-driven ligand optimization and re-scoring of receptor-ligand complexes using MD-based approaches.
   • She is associated with Growdea Technologies as a consultant.
     
     

4. Dr. Pooja Kesari, Growdea Technologies

   • She has a decade of experience in the field of Bioinformatics; with professional knowledge of experimental techniques (X-ray crystallography, Biochemistry, Molecular Biology) and computational biology (homology modelling, virtual screening, and molecular dynamics simulation).
   • She has authored 16 Research Papers Across Multiple Reputed International Journals with over 250 citations.
   • Reviewer for Journal of Biomolecular Structure and Dynamics.
   • She is associated with Growdea Technologies as a consultant.

Career Growth After Learning Computational Drug Design:

Learning computational drug design can be a significant catalyst for career growth and open up a wide range of exciting opportunities in various sectors of the pharmaceutical and biotechnology industries. Here's how your career can flourish after acquiring these valuable skills:

1. Pharmaceutical Research Scientist: You can become a key player in pharmaceutical research teams, where your expertise in computational drug design will be crucial in identifying potential drug candidates, optimizing drug properties, and expediting the drug discovery process.

2. Bioinformatics Specialist: With proficiency in computational biology and bioinformatics, you can work as a bioinformatics specialist, assisting in genomics, proteomics, and systems biology research. Your skills will be in demand for data analysis, algorithm development, and software tool creation.

3. Biotech Startup Entrepreneur: If you have an entrepreneurial spirit, you can launch your own biotech startup. Your expertise in computational drug design can help you create innovative solutions for drug discovery, attracting investors and partners interested in groundbreaking technologies.

4. Academic Researcher: Pursue an academic career as a researcher or lecturer in universities and research institutions. You can contribute to the advancement of knowledge in computational biology and drug discovery, mentor students, and publish research papers.

5. Pharmaceutical Data Scientist: Join the growing field of pharmaceutical data science, where you can leverage your computational skills to analyze large datasets, conduct predictive modeling, and support data-driven decision-making in drug development.

6. Clinical Trials Analyst: Work with pharmaceutical companies to design and analyze clinical trials. Your expertise can ensure the efficient and ethical conduct of trials, accelerating the introduction of new drugs to the market.

7. Consultant or Freelancer: Offer your services as a consultant or freelancer to pharmaceutical companies seeking expertise in computational drug design. This allows for flexibility and the opportunity to work on a variety of projects.

8. Regulatory Affairs Specialist: Play a critical role in navigating the complex world of regulatory approvals for pharmaceuticals. Your understanding of computational drug design can help ensure compliance with regulatory standards.

9. Drug Safety Analyst: Contribute to drug safety assessment by analyzing data and predicting potential safety issues associated with drug candidates. Your skills can enhance the risk assessment process.

10. Cross-Disciplinary Opportunities: Computational drug design skills are highly transferable to related fields such as materials science, chemical engineering, and even finance (quantitative analysis). Explore diverse career paths where your computational expertise can shine.

Overall, the demand for professionals with computational drug design skills is on the rise as the pharmaceutical and biotech industries increasingly rely on data-driven approaches to drug discovery. Continuous learning and staying updated with the latest tools and technologies in this field will further boost your career growth potential.

Why Attend This  Internship:

1. Expert Instructors: Learn from seasoned experts in computational biology and drug discovery, including Dr. Avinash Mishra, Dr. Isha Srivastava, Dr. Sunita Gupta, and Dr. Pooja Kesari, all associated with Growdea Technologies. They bring a wealth of experience from academia and industry, ensuring you receive top-notch training.

2. Cutting-Edge Curriculum: Our comprehensive 7-day program covers essential topics in computational drug design, including protein structure prediction, molecular docking, and protein-ligand interactions. You'll gain hands-on experience with tools like PyMOL, AutoDock, and Vina.

3. Career Advancement: Acquiring skills in computational drug design is a significant career booster. Pharmaceutical companies and research institutions are increasingly reliant on computational approaches to accelerate drug discovery. This course equips you with valuable expertise that can set you apart in the job market.

4. Practical Application: We emphasize practical learning, ensuring you can apply the knowledge gained immediately. The course includes assignments and evaluations to reinforce your understanding.

5. Networking Opportunities: Interact with like-minded peers and experts in the field, building valuable connections that can enhance your career prospects.

Eligibility:

This course is open to students, researchers, and professionals interested in computational drug design. While a basic knowledge of biology and chemistry is recommended, it's not mandatory. What matters most is your passion for discovery.

How Online Hands-on  Internship Can Help:

• Online hands-on workshops provide participants with a unique opportunity to learn from industry experts and gain practical experience in a particular field.
• By attending this workshop, participants will gain knowledge of animal cell culture techniques and how to apply these techniques in their research projects.
• Additionally, attendees will be able to interact with like-minded individuals and network with professionals in the field.

This Training Course is your opportunity to gain practical expertise in computational drug design, a skill set that is in high demand in the pharmaceutical and biotechnology sectors. Don't miss out on this chance to shape your future and make a difference in the world of drug discovery.

Frequently asked questions on Biotecnika Workshops & Training.

Are these going to be live sessions?

Yes, The Workshops will be conducted LIVE.

What If I miss a session?

The recording of the sessions will be available for five days post-completion of the workshop. So you can go back and refer to the recordings, but make sure you do not miss the live sessions and take maximum benefit from them. 

Is this hands-on?

This will be a live online workshop / Internship

How to get the hard copy certificate?

To avail of the hard copy certificate, the candidate should attend the complete session and pay a small fee.

Whom do I contact for any further queries or technical difficulties?

Have any trouble? Get in touch with our team. Click on the virtual chat assistant or write to us at cst@biotecnika.org or info@biotecnika.org.