PyMOL Hands-On Boot Camp
From Raw PDB Data to Stunning Publication-Ready Scientific Figures
Course Description
Unlock the power of PyMOL, the industry-standard software for 3D molecular visualization. This intensive, hands-on boot camp bridges the gap between raw genomic/proteomic data and high-impact scientific storytelling. You will dive deep into the world of Structural Biology, learning how to manipulate protein architectures, analyze binding pockets, and visualize complex drug-target interactions.
The curriculum leverages AI-driven tools and computational chemistry workflows to streamline the analysis of PDB (Protein Data Bank) files. Whether you are identifying hydrogen bonds in a mutant protein or simulating molecular dynamics, this course provides the practical training needed to excel in Drug Discovery and Bioinformatics. By the end of this boot camp, you will not only understand molecular aesthetics but also the biophysical data that drives modern pharmaceutical research.
What You'll Learn
Navigate the PyMOL 3.0 Interface and manage internal/external GUIs.
Perform Protein Superimposition and structural alignment of homologous proteins.
Identify and visualize Intermolecular Interactions (H-bonds, polar contacts, and hydrophobic effects).
Execute In-Silico Mutagenesis to predict the impact of amino acid swaps.
Generate Publication-Ready Figures with customized labels, surfaces, and colors.
Use AI Workflows to integrate AlphaFold predictions into your visualization pipeline.
Curriculum
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Module 1: Introduction to PyMOL & Environment Setup.
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Module 2: Loading & Managing Molecular Data (PDB, SDF, Mol2).
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Module 3: Selection Logic: Mastering the ""A, S, H, L, C"" (Action, Show, Hide, Label, Color) panel.
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Module 4: Structural Analysis: Distances, Angles, and Polar Contacts.
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Module 5: Advanced Visualization: Surfaces, Meshes, and Electrostatic Potentials.
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Module 6: Comparative Modeling: Alignment and Superimposition.
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Module 7: Making Movies: Scenes, Keyframes, and MD Trajectories.
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Module 8: Scripting & Automation: Intro to PyMOL-Python Integration.
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