Training in Molecular Modeling and Molecular Dynamics
June 26 - 29, 2018
Where?
National Institutes of Health
9000 Rockville Pike
Building 60, Room 162
Bethesda, MD 20892, USA
Objectives
Participants will use popular open source tools and techniques necessary for conducting successful molecular modeling and dynamics experiments in the cloud.
Background
Predicting the effect of a mutation on the structure and function of a protein is not just for researchers with super-computer facilities. Thanks to public cloud computing options, anyone with basic molecular biology background can setup and run compute intensive computational modeling and dynamics experiments.
Hands-on Skills/Tools Taught
- Ab initio protein structure modeling: QUARK / Rosetta
- Remote homology detection: HHpred
- Fragment-based protein structure modeling: Phyre2
- Homology-based protein structure modeling: I-TASSER, MODELLER
- Protein structure quality analysis: PROCHECK, WHAT_IF, Verify3D, PDB-REDO
- Protein structure refinement: ModRefiner, ModLoop, Ramachandran plot
- Macromolecular visualization: VMD, USCF Chimera
- Molecular dynamics: NAMD
Highlights
- Cloud-based, high performance computing platform
- Cloud image freely provided to participants
- Training provided by active NIH researchers
- Cookbook style bound manual for all exercises
- Direct, after training support through exclusive forum membership
- Continuing Educational Credits
For more information and registration, please visit the following page;