Can we use molecular dynamics to simulate biomolecular recognition?
https://doi.org/10.17044/SCILIFELAB.22348714
This Dataset contains starting structures, inout files and scripts to prepare and run normal and biased simulations on the LacI Transcriptionfactor and DNA (with different sequences). The starting structures (based on the crystal structure with PDB ID 1EFA), input files for GROMACS and PLUMED and scripts for prepartion and analysis are also available on GitHub. In this dataset, one can additionally find the trajetories of the simulations that were run to produce the linked publication.
The trajectories include the follwing sets:
Unbiased simulations
5 replica of 50 ns each
NMR restraint simulations
2 DNA sequences: specific, OSymL and non-specific NOD
3 replica of 250 ns each
Metadynamics simulations
OSymL (specific DNA sequence)
bias on selected contacts between the protein and the DNA
bias on selected contacts between the protein and the DNA and between the two hinge helices
bias on selected contacts between the protein and the DNA and between the two hinge helices and the hinge helixity
NOD (non-specific DNA sequence)
bias on selected contacts between the protein and the DNA and between the two hinge helices and the hinge helixity
Code contains the scripts used for preparing, running and analysing the simulations. It is also available on GitHub (https://github.com/mallu2/Transcriptionfactor_unbindingOpens in a new tab) (https://github.com/mallu2/Transcriptionfactor_unbindingOpens in a new tab) .
Go to data source
Opens in a new tabhttps://doi.org/10.17044/SCILIFELAB.22348714
Citation and access
Citation and access
Creator/Principal investigator(s):
Research principal:
Citation:
Administrative information
Administrative information
Topic and keywords
Topic and keywords
Relations
Relations
Metadata
Metadata
