Transforming Structure into Strategy: Your Protein-Ligand Masterclass
Workshop Overview
The Path to Therapeutic Innovation is a three-module program designed to transform scientists into therapeutic innovators. Participants progress through foundational concepts in protein-ligand interactions, advance to sophisticated molecular dynamics simulations, and culminate in independent projects that bridge laboratory science with real-world drug discovery applications.
Resources Provided
- Recorded video lectures and tutorials (lifetime availability)
- Curated PDB files for cancer proteins
- Jupyter/Google Colab notebooks with example code, workflows, and best practices
- AI prompts to accelerate these workflows will be provided
- Tool recommendations and installation guides
- Template analysis workflows for reproducible research
- GitHub repository with all independent projects, code, and documentation (your portfolio)
Workshop Format
1. Asynchronous, self-paced learning module on protein-ligand interactions for therapeutic drug development
2. Combines video tutorials, case studies, and hands-on modeling exercises
3. Real-time support through office hours and Slack community
Community Support
Slack Community
1. Peer-to-peer discussion and collaboration anytime
2. Quick Q&A channel for technical issues
3. Resource sharing and paper discussions
4. Announcements and module updates
5. Networking with other participants
Office Hours
1. Weekly drop-in sessions (schedule provided)
2. One-on-one troubleshooting and guidance
3. Code review and technical assistance
4. Discussion of complex concepts
5. Project feedback and mentorship
2025 Workshop Schedule
Fees and Special Offers
About the instructor
Omar Arias-Gaguancela, M.Sc, PhD
Omar brings over a decade of scientific expertise across academia, nonprofits, and industry. His career spans diverse disciplines from plant biology to translational cancer research.In April 2025, Omar founded SciLearningWorkshops to address a critical gap in scientific training. The organization develops evidence-based frameworks designed to streamline protein modeling pipelines for therapeutic discovery and biotechnology applications.Omar's thought leadership extends across digital platforms, where he actively engages the scientific community on LinkedIn. His content ranges from technical tutorials to critical analyses of emerging protein modeling tools. He has grown an audience of 6,380+ followers and generates 190,000+ quarterly impressions.Additionally, Omar collaborates with leading innovators in the protein modeling and AI space, advising CEOs and founders on cheminformatics, molecular dynamics simulations, and computational tools that drive biotechnological advancement.