Comments (3)
Hi @SoodabehGhaffari
In AutoDock Suite there is a project specialized in docking peptide ligands - AutoDock CrankPep (ADCP). You can compare them method-wise, try a few peptide ligands of your own, visualize the outputs and check the ranking.
Just a user's opinion here - For short peptides (some 5-9 AA peptide ligands I designed, which barely form a large piece of any secondary structure) I had positive experiences docking them using AutoDock Vina. I got similar top-scored poses in AutoDock Vina and ADCP, but at the moment AutoDock Vina is so much faster. I'm less experienced in docking longer peptides, though.. Maybe you could also ask in a bigger computational chemistry community that are not exclusive to AutoDock :>
from autodock-vina.
I agree with @rwxayheee. As for further suggestions, if you have only standard amino acids, software for protein structure prediction might be useful, e.g. Alphafold, Rosetta, RFdiffusion.
from autodock-vina.
In addition to conventional softwares for protein structure prediction, AlphaFold2-multimer could be worth trying.
According to this paper AF2-multimer outperformed other methods in case of peptide/protein docking.
(Note that AF2-multimer needs you to input sequence data instead of structure data like PDB)
from autodock-vina.
Related Issues (20)
- Details on scoring function terms HOT 3
- Autogrid4 Atom Type Error with Large Ligand Database HOT 6
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- Weird protein split in flexible docking HOT 7
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- Vina flexible docking HOT 4
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- H-bond term HOT 2
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- Differences between `*_rigid.pdbqt` and `*.pdbqt` files of receptors HOT 2
- Issue : An internal error occurred in ../../../src/lib/tree.h(101) HOT 3
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from autodock-vina.