Training in Molecular Modeling and Molecular Dynamics
July 21 - 24, 2020
National Institutes of Health(ONLINE)
9000 Rockville Pike
Building 60, Room 162
Bethesda, MD 20892, USA
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.
Simultaneous access to two screens is highly recommended for adequate learning experience. Examples include two laptops, one computer with two screens, one laptop and one tablet, etc.
Participants will use popular open source tools and techniques necessary for conducting successful molecular modeling and dynamics experiments... in the cloud.
- Cloud-based, high performance computing platform
- Training provided by active NIH researchers
- Cookbook style bound manual for all exercises
- Continuing Education Credits
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
For more information and registration, please visit the following page: Information and Registration