Lecture 1/2: MD, forcefields, small molecules. Contents: Assumptions, timescales, limitations, well-known all-atom forcefields, criteria for selection.
Lecture 3/4: System building and hands-on. Contents: system building, equilibration workflows, small molecules in Amber, OpenMM, gelsolin as an example; hands-on with Colab + GPUs.
Lecture 5/6: MD analysis, and hands-on. Contents: motivation for gelsolin as an example system, AGel amyloidosis, crystallization of gelsolin G2+nanobody, G2/nanobody molecular models, simulation setup; hands-on with Colab and MDTraj.
Lecture 7/8: Advanced topics: Markovian models and Docking. Contents: Markov models for the analysis of biomolecules. State decomposition, timescales, training, convergence, equilibrium probabilities, free energies, kinetics, committors. Hands-on. Docking, redocking, pitfalls; hands-on on building and docking a toy library to COX-2.
Part 1 (~11,10-11,45)
- MD, building, forcefields, small molecules
Part 2 (~12,00-12,40)
- Amber build + run hands-on
Part 3 (~13,00-13,45)
- OpenMM
Part 4 (~14,00-14,45)
- OpenMM modeller build hands-on
Part 1 (~11,10-12,30?)
- MD analysis with the GSN case + h.o.
Part 2 (~12,45-14,00?)
- Markov state models + h.o.
Part 3 (~14,10-15,00?)
- Docking + h.o.