Molecular Maya’s (mMaya) Rigging kit automates the modeling, rigging, simulation and visualization of macromolecules. A rig is a virtual skeleton that controls the range of dynamic motion of a 3D model. In the case of macromolecules like proteins, this can be an incredibly challenging task. This course will provide an introduction to the Rigging kit’s basic functionalities and we’ll begin with our single-click rig creation process as well as the different levels of detail you can create in a molecular rig – from all-atom to more coarse-grained rigs. We will create custom selections to define subdomains of your model and use those to create handles that help steer the simulation. We will look at elastic networks as a means to control the secondary structure of your protein, as well as several options for creating complex molecular morphs. Finally we will also look at the ability to save conformational poses of your molecule as well as how to cache your simulation for smoother playback and in preparation for rendering. This course will let you to take full advantage of mMaya’s Rigging kit and reveal its unique advantages in production.

Learning Objectives:

  • Gain an overview of the functionalities of the mMaya Rigging Kit
  • Learn how to change molecular representations of your rigged models
  • Create sub-domain selections to drive the creation of rig handles that help steer your molecular simulation
  • Apply elastic networks to control how your model maintains secondary structure
  • Use different targeting methods to morph your protein
  • Gain an understanding for the production challenges that the kit can help with



01 Introduction
02 Creating a molecular rig: all atom rigs
03 Creating a molecular rig: coarse grain rigs
04 Maintaining secondary structure with elastic networks
05 Controlling subdomains with selections
06 Conformational targets: rig handles
07 Conformational targets: molecular chain
08 Conformational targets: single PDB model
09 Conformational targets: multiple PDB models
10 Colliders
11 Poses and initial states
12 Caching your molecular simulation
13 Conclusion

RUN-TIME 02:19:13