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 Generative Artificial Intelligence for designing Novel Drugs. 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.
Explore the cutting-edge intersection of artificial intelligence and drug discovery in this 5-day online workshop on Generative AI for Designing Novel Drugs. Learn to use advanced AI tools to design molecular structures, optimize drug properties, and accelerate therapeutic development. Gain hands-on experience with practical tools revolutionizing pharmaceutical research and innovation.
Course Overview
TOPICS/MODULES COVERED IN THIS TRAINING:
Introduction to Generative AI in Drug Discovery
- Overview of AI applications in drug design.
- Generative models: Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), and Diffusion Models.
- Introduction to molecular representations: SMILES, graphs, and molecular descriptors.
Data Preparation and Molecular Representation
- Building and curating datasets for drug discovery.
- Chemical space exploration using molecular descriptors and fingerprints.
- Encoding molecules with graph-based neural networks and embeddings.
Generating Novel Molecules
- Hands-on with VAEs and GANs for molecular generation.
- Exploring property-based molecular generation (QED, logP, etc.).
- Optimization of molecular structures using Reinforcement Learning (RL).
Evaluation and Optimization of Drug-Like Properties
- Tools for assessing ADMET properties (absorption, distribution, metabolism, excretion, and toxicity).
- Predicting binding affinities and docking simulations with AI models.
- Practical session: Generate and optimize lead compounds using Python libraries.
Advanced Applications and Case Studies
- Multi-objective optimization for therapeutic efficacy and safety.
- Integrating generative AI with molecular docking and virtual screening.
- Real-world case studies: Successful AI-driven drug design projects.
Practical Application
SOFTWARE & SERVERS WHICH WILL BE USED:
Molecular Representation and Analysis
- RDKit: For molecular manipulation, fingerprint generation, and descriptor calculations.
- Open Babel: Format conversions and molecule preprocessing.
Generative Modeling
- DeepChem: For AI-driven molecular design and property prediction.
- PyTorch and TensorFlow: Frameworks for building and training generative models like GANs, VAEs, and Diffusion Models.
Optimization and Property Prediction
- ChEMBL and ZINC15 Databases: For accessing bioactivity and chemical data.
- Chemprop: Predicting chemical properties using machine learning.
Docking and Simulation
- AutoDock and PyMOL: For molecular docking and visualization.
- SwissADME: For evaluating drug-likeness and pharmacokinetics.
Cloud-Based Tools and Servers
- Google Colab: For running Python-based machine learning models with GPU support.
- AWS Sagemaker: Cloud platform for deploying generative models and conducting large-scale computations.
- IBM RXN for Chemistry: AI-driven retrosynthesis and molecular design tool.
Learning Objectives
OUTCOME [WHAT PEOPLE WILL LEARN]:
By the end of this training, participants will:
- Understand Generative AI Principles: Grasp the fundamentals of generative models such as VAEs, GANs, and Diffusion Models, and their applications in drug discovery.
- Master Molecular Representations: Learn to encode molecular structures using SMILES, graphs, and descriptors for AI-driven analysis.
- Generate Novel Drug Molecules: Acquire skills to design and optimize drug-like molecules using AI tools and algorithms tailored for molecular generation.
- Optimize Drug Properties: Understand how to predict and enhance ADMET properties and therapeutic efficacy using AI-driven property evaluation methods.
- Perform Multi-Objective Optimization: Gain expertise in optimizing molecules for multiple objectives, balancing efficacy, safety, and manufacturability.
- Integrate AI with Drug Discovery Workflows: Explore how generative AI can complement traditional drug discovery processes, including molecular docking and virtual screening.
- Hands-On with Cutting-Edge Tools: Gain practical experience with software like RDKit, DeepChem, AutoDock, and cloud platforms such as Google Colab and AWS.
- Analyze Real-World Case Studies: Learn from successful applications of Generative AI in drug design to understand best practices and challenges in the field.
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 hands-on, interactive approach to ensure practical learning and skill development. Key components include:
Foundational Lectures:
Practical Sessions:
Step-by-step tutorials on using generative AI tools and platforms.
Hands-on exercises to design, analyze, and evaluate drug candidates.
Case Studies:
Real-world examples of successful drug discovery projects powered by generative AI.
Insights into challenges, solutions, and lessons learned.
Expert Guidance:
Why You Should Attend
Cutting-Edge Knowledge: Stay ahead of the curve by learning the latest advancements in generative AI for drug design, a transformative field with immense potential.
Practical Skills: Acquire hands-on experience with AI-driven tools and techniques, preparing you to apply them directly in your research or professional projects.
Expert Insights: Gain valuable knowledge from seasoned professionals who bring years of expertise in both AI and pharmaceutical sciences.
Career Advancement: Enhance your skill set and credentials, positioning yourself as a leader in the innovative intersection of AI and drug discovery.
Networking Opportunities: Connect with peers, mentors, and industry leaders, fostering collaborations that could shape the future of your career and research.
Why 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
