I would like to study the binding of different aptamers (RNA sequences) to the ligand PFOA. Haddock allows me to do so, but I don’t know how to tune the parameters to optimize the results, and cannot find any information anywhere. I would really appreciate if someone could give me some notions about how to find the best parameters to perform Haddock in this case. Thanks!
Wee never benchmarked RNA-ligand docking but did some yet unpublished work on DNA-ligand modelling. Here is a matrix of parameters (the last column should work for RNA-ligand modelling):
default value | Protein/Small molecule | Protein/DNA | DNA/small molecule | ||
---|---|---|---|---|---|
Dieletric constant for it0 | dielec_0 | rdie | cdie | rdie | cdie |
Dieletric constant for it1 | dielec_1 | rdie | cdie | rdie | cdie |
MD steps for rigid body high temperature TAD | initiosteps | 500 | 0 | 500 | 0 |
MD steps during first rigid body cooling stage | cool1_steps | 500 | 0 | 500 | 0 |
Initial temperature for second TAD cooling step with flexible side-chain at the interface | tadinit2_t | 1000 | 500 | 1000 | 500 |
Initial temperature for third TAD cooling step with fully flexible interface | tadinit3_t | 1000 | 300 | 1000 | 300 |
Weight of the intermolecular van der Waals energy for scoring at the rigid-body docking stage | w_vdw_0 | 0.01 | 1 | 0.01 | 1 |
Weight of the intermolecular electrostatic energy for scoring at the final stage | w_elec_2 | 0.2 | 0.1 | 0.2 | 0.1 |
Dielectric constant for rigid-body docking | epsilon_0 | 10 | 10 | 78 | 78 |
Dielectric constant for the semi-flexible refinement | epsilon_1 | 10 | 10 | 78 | 10 |
And in addition you might consider setting the weight of the desolation energy term in the scoring function to 0
Thank you so much!