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TIGER2 Hybrid Solvent REMD Implementations for NAMD

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Welcome to the official TIGER2h(s)PE repository

Please find here the latest TIGER2hPE and TIGER2hsPE implementations for hybrid solvent replica exchange simulations with NAMD. We will also add here any news on new projects and applications for our methods. TIGER2h(s)PE is an optimized REMD derivative allowing enhanced sampling MD simulations to sample protein folding, protein-protein interactions, protein structure refinements, and protein conformational dynamics. It offers to select the number of replicas independent from the system size and can effectively be used on any hardware NAMD can run on. With sufficiant resources, however, REMD simulations of huge systems can be efficiently realized to explore the conformational space of biological systems of unseen complexity.

Usage

Setup a NAMD simulation with TIGER2hsPE for one of the example system (AAQAA, HP7, TrpCage):

#copy files
cp -r <Repository Path>/systems/<system> simulation & cd simulation
cp -r <Repository Path>/src/TIGER2hs_PE remd
cp -r <Repository Path>/tools .
cp remd/template.sh simulation.sh

Edit the simulation.sh and add values according to system's README. Then run the simulation:

./simulation.sh

You can monitor the sampling and exchange process by get_samping.tcl and exmat.tcl:

./tools/exmat.tcl
./remd/get_sampling.tcl <timestep>

Further information see: Tutorial

Required software

We normally run our simulations with an MPI built of NAMD-2.13 or later. Our implementations work fine with CUDA enabled NAMD builts. Launch options in template.sh may need updates for charmrun and specialized compute clusters. The hybrid solvent energy is now generated by OpenMM and MDAnalysis and hence requires a python 3.7 environment with these packages installed.

TODO

  • Add parameters to choose between wrapped or unwrapped output for hybrid solvent state
  • Add option to write the trajectory for all replicas, not only the baseline

Cite this work

Fundamental Redesign of the TIGER2hs Kernel to Address Severe Parameter Sensitivity
Lukas Schulig, Norman Geist, Mihaela Delcea, Andreas Link, and Martin Kulke
Journal of Chemical Information and Modeling
DOI: 10.1021/acs.jcim.2c00476

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