The Four Paths of the MolSysMT’s Master#

Welcome to the definitive curriculum for Computational Structural Biology and Molecular Systems Engineering using MolSysMT. This course is not just a tutorial; it is a 54-module odyssey designed to transform you into a master of molecular models.

🧭 The Journey: 6 Phases of Mastery#

The curriculum is organized into 6 operational phases that follow a spiral learning approach:

  1. Phase 1: First Contact (Quick Start & Visual Selection).

  2. Phase 2: Molecular Anatomy (Hierarchies & Relational Navigation).

  3. Phase 3: The Virtual Lab (Editing, Repairing & Building).

  4. Phase 4: Data Analyst (Geometric & Physical Analysis).

  5. Phase 5: The Physics Lab (Environment, Energies & Simulation).

  6. Phase 6: Pipeline Developer (Performance, Scaling & Extension).

🏗️ The Common Core (Modules 1-20)#

Every Master begins their journey in the Common Core. Here, you will use the T4 Lysozyme (PDB 181L) as your primary training system.

Through this classic model, you will learn the universal language of MolSysMT: Selections, Attributes, and the powerful Relational Algebra that allows you to navigate between atoms and biological entities.

🛣️ Choose Your Path (Modules 21-54)#

Upon mastering the foundations, you must select one of the Four Specialized Paths to complete your training:

🔬 Path A: Peptide-Based Inhibition of Amyloid-Beta Aggregation#

  • Focus: Multi-chain assembly, peptide synthesis, and fibril destabilization.

  • Goal: Build a therapeutic candidate to intercalate into the Amyloid-Beta core.

♻️ Path B: Rational Engineering of Plastic-Degrading Enzymes#

  • Focus: Virtual mutations, cavity volume analysis, and thermal stability.

  • Goal: Redesign a PETase enzyme for high-temperature industrial environments.

💊 Path C: Binding Affinity Optimization of Antiviral Inhibitors#

  • Focus: Protein-ligand interactions, H-Bond networks, and binding energetics.

  • Goal: Refine an experimental drug to maximize its affinity against the SARS-CoV-2 protease.

⚡ Path D: Dynamic Analysis of Membrane-Embedded Ion Channels#

  • Focus: PBC mastery, complex spatial transformations, and high-performance trajectory analysis.

  • Goal: Control and quantify the ionic flux through a biological nanopore.