INTRODUCTION
BDG LifeSciences is a distinguished bioinformatics company established in 2010 and operates globally. Headquartered in India the company specializes in facilitating workshops, training programs, novel & innovative research projects, and online courses in technologies of bioinformatics & life science. The company is registered under the Ministry of MSME (Micro, Small, and Medium Enterprises), Government of India, with the registration number UDYAM-UP-01-0019151. Recently, BDG Lifesciences, India has authorized BBR Group Pty Ltd., Australia (ACN 608 550 849), to operate its programs in Australia & New Zealand.
With a focus on practical application of technology, where participants work on their own computer/laptop on software/servers, BDG LifeSciences has been a leader in the sector for the last 14 years. Since its inception, BDG LifeSciences has successfully educated a diverse range of participants globally, including students, scientists, faculty members, professors, and corporate executives.
Innovation & Creativity is the core part of BDG Lifesciences and as per the increasing demand advancing in the technology we have launched a 5-day Online Technical Training in Deep Learning Powered Immunoinformatics. It will be an extensive 5-day training program in which every day 120 minutes interactive training sessions will be conducted to give the user a unique learning experience. VIDEO RECORDING WILL BE PROVIDED. On successful completion of the course participation certificate will be awarded.
Unlock the power of deep learning in immunoinformatics with this 5-day hands-on workshop! Learn to design predictive models for epitope discovery, vaccine design, and immune response prediction. Gain practical experience with advanced tools and frameworks, transforming biological data into actionable insights for immunotherapy, vaccine development, and precision immunology research.
Course Overview
TOPICS/MODULES COVERED IN THIS TRAINING:
Foundations of Immunoinformatics and Deep Learning
- Introduction to immunoinformatics and its applications in immunotherapy and vaccine design.
- Basics of deep learning: Neural networks, architectures, and workflows.
- Overview of biological datasets used in immunoinformatics (e.g., IEDB, PDB).
Epitope Prediction and Antigenicity Analysis
- B-cell and T-cell epitope prediction techniques.
- Deep learning algorithms for epitope identification (e.g., CNNs and RNNs).
- Hands-on: Using neural networks for peptide-MHC binding prediction.
Vaccine Design and Immunogenicity Optimization
- Concepts of reverse vaccinology and computational vaccine design.
- Role of deep learning in optimizing immunogenicity.
- Hands-on: Designing and evaluating vaccine candidates using AI models.
Immunotherapy Applications and Neoantigen Prediction
- Deep learning in cancer immunotherapy: Predicting neoantigens and immune checkpoint interactions.
- Introduction to ensemble learning for robust predictions.
- Hands-on: Neoantigen prediction and immune response analysis.
Advanced Topics and Case Studies
- Multi-omics integration with deep learning for immunoinformatics.
- Interpretable AI techniques in immunology.
- Real-world case studies: Success stories in vaccine development and immunotherapy.
- Workshop wrap-up and project presentations.
Practical Application
SOFTWARE AND PROGRAMMING FRAMEWORKS:
- Python: Primary programming language for deep learning and data analysis.
- TensorFlow and PyTorch: Frameworks for building and training deep learning models.
- Keras: High-level deep learning API for quick model prototyping.
- Scikit-learn: For data preprocessing and traditional machine learning tasks.
- Jupyter Notebooks: For hands-on coding and demonstrations.
Online Tools and Servers:
- IEDB Tools: For epitope mapping and immune database exploration.
- NetMHCpan: For MHC-peptide binding predictions.
- Epitope Prediction Tools: Tools such as DeepLigand and DeepImmuno.
- AlphaFold: For antigen structure prediction and analysis.
Visualization Tools:
- Matplotlib and Seaborn: For data visualization and interpretation.
- Cytoscape: For immune network analysis and visualization.
Data Repositories:
- IEDB (Immune Epitope Database): Source of epitope and immune response datasets.
- PDB (Protein Data Bank): For structural data of antigens and antibodies.
Cloud-Based Resources:
- Google Colab: For accessible deep learning implementation and GPU support.
- Kaggle: For accessing datasets and hosting notebooks.
Learning Objectives
OUTCOME [WHAT PEOPLE WILL LEARN]:
By the end of this training, participants will:
- Understand Immunoinformatics: Grasp the fundamentals of immunoinformatics and its critical applications in vaccine design, immunotherapy, and epitope prediction.
- Apply Deep Learning Techniques: Build and train deep learning models, including CNNs and RNNs, to solve immunological problems such as MHC binding prediction and antigenicity scoring.
- Predict Epitopes: Use advanced tools and algorithms to predict T-cell and B-cell epitopes for vaccines and therapeutic development.
- Design Vaccines and Therapies: Learn computational approaches for designing vaccine candidates and optimizing immunogenicity.
- AnalyzeNeoantigens: Predict and validate neoantigens for cancer immunotherapy using machine learning and deep learning pipelines.
- Work with Advanced Tools: Gain hands-on experience with tools like TensorFlow, PyTorch, NetMHCpan, and AlphaFold for immunological analysis.
- Integrate Omics Data: Understand how to integrate multi-omics data to enhance immunoinformatics predictions.
- Interpret Models: Apply explainable AI techniques to make predictions transparent and biologically meaningful.
- Explore Real-World Applications: Study case examples of deep learning-powered immunoinformatics in vaccine and immunotherapy development.
- Develop Independent Projects: Gain the confidence and skills to design, execute, and troubleshoot immunoinformatics workflows for research or practical applications.
DURATION [IN DAYS & TIME SPENT FOR EVERYDAY SESSION]: 5 days ( 2hrs / day)
SYSTEM REQUIREMENT [LIST THE SYSTEM REQUIREMENT]:Laptop or PC with 4GB RAM
PRE-REQUISITES [LIST ANY PRIOR KNOWLEDGE REQUIRED]: Not needed
Target Audience
This training is ideal for:
1. Students
- Including undergraduate and postgraduate students studying life sciences, medical sciences, and related fields.
- Medical and pharmaceutical students who are exploring AI in Drug Discovery, genetic engineering and genomic research
- Ph.D. candidates specializing in molecular biology, bioinformatics, biotechnology, or similar disciplines..
2. Academicians
- Faculty and educators seeking to integrate AI and genomic analysis into their curriculum.
- Researchers looking to apply AI techniques in experimental and computational genomics.
3. Industry Professionals:
- Individuals from fields such as microbiology, biochemistry, biotechnology, immunology, medicine, pharmacy, pharmaceutical chemistry, biomedical sciences, genetics, and bioinformatics.
- Resident doctors, bioinformaticians, pharmaceutical scientists, and professionals in academia, industry, or regulatory agencies aiming to enhance their skills in AI-driven genomics and personalized medicine.
Methodology
Our program employs a structured, hands-on approach to maximize learning outcomes. Key components include:
- Foundational Lectures:
- Introduction to deep learning and its applications in immunoinformatics.
- Key concepts in immunology and computational biology.
- Practical Sessions:
- Step-by-step tutorials on implementing deep learning models for immunological data.
- Hands-on exercises using real-world datasets to predict and analyze immune responses.
- Case Studies:
- Exploration of successful applications of deep learning in immunoinformatics.
- Discussion of challenges, solutions, and future directions in the field.
- Expert Guidance:
- Mentorship by leading professionals in AI and immunology.
- Interactive Q&A sessions to address individual queries and project ideas.
Why You Should Attend
- State-of-the-Art Knowledge: Understand the latest advancements in deep learning and their transformative potential in immunoinformatics.
- Hands-On Experience: Develop practical expertise in applying deep learning to solve immunological research problems.
- Expert Insights: Learn from experienced professionals who bring a wealth of knowledge in both AI and immunology.
- Career Development: Enhance your professional portfolio with a certificate in this cutting-edge intersection of AI and immunoinformatics.
- Networking Opportunities: Connect with like-minded peers, mentors, and experts, building relationships that can drive future research and career opportunities.
Join us to explore how deep learning is unlocking new possibilities in immunoinformatics, and take a significant step towards advancing your expertise in this exciting field!
Choose BDG LifeSciences for this Training?
1. Experience and Credibility: BDG LifeSciences, with over 14 years of expertise, is a market leader in bioinformatics course training and workshops.
2. Global Reach: Programs are accessible by participants from all around the world, and the curriculum is customized to international standards.
3. Hands-On Learning: The emphasis on practical application ensures that participants may instantly apply their knowledge.
4. Expert Advice: With cutting-edge tools, expert trainers, and comprehensive content, we ensure a rich learning experience tailored to industry and academic needs.
How To Register
To secure your spot:
- Click on Register Now button and proceed.
- After registering, please email to info@bdglifesciences.com with your preferred start date and choose one of the following time slots: 6:30 AM–8:30 AM India time or 8:30 PM–10:30 PM India time.
- Kindly note that the time of the sessions will be 90-120 minutes every day.
- Once you register, please allow us 2-5 working days to make your training schedule, i.e. dates and time.
- For any further queries, feel free to email us at info@bdglifesciences.com
Previous Events & Testimonials
- Gain insight into our past trainings:
- Upcoming Programs: Explore other upcoming events here.
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T & C
- Please provide a GMAIL ID for registration as the recorded video session will be provided on YouTube. Kindly provide that email ID by which you use YouTube.
- Since the training is a one-on-one live session with a trainer on Zoom, you'll need to attend, allowing for practical hands-on learning, real-time explanations, and direct query resolution for a better learning experience.
- At the end of each session, you will receive a video recording, allowing you to review the steps as many times as needed to enhance your learning and master the topics and tasks.
- BDG Lifesceiences (OPC) Private Limited is registered under Ministry of MSME(Micro, Small and Medium Enterprises), Government of India with Registration Number:UDYAM-UP-01-0019151 hence the certificate will be provided of it. BBR Group Pty Ltd, Australia (ACN-Australian Company Number-608 550 849) has the franchisee of BDG Lifesciences to run its programs in Australia & New Zealand.
- The certificate will be issued as per the details which you will provide in the registration form while registering before payment.
- We want to make sure that you learn properly hence the training certificate will be given ONLY on successful completion of all the tasks given by the trainer.
- The certificates of all our Online programs are sent by email (softcopy) which has a unique barcode. You can take a print of that on heavy cardstock or photo paper and get it laminated if required.
- The registration is NON-REFUNDABLE and NON-TRANSFERABLE.
- BDG Lifesciences (OPC) Pvt. Ltd., India and BBR Group Pty Ltd Australia reserve the right of admission in all our programs.
- If you are removed or your registration is canceled then there will be no answer to that. We have our own reasons for such an act of ours. If we do not wish to give this training to any participant then we will refund their amount.
- You should also read the Terms & Conditions page as well as the FAQs page. For any assistance kindly chat with our AI Assistant BioBot on the website www.bdglifesciences.com
