[Dock-fans] Fixing protonation state
burgosgu at ualberta.ca
burgosgu at ualberta.ca
Sat Nov 3 14:14:40 PDT 2007
Hi John and Francesco,
I guess it's time for me to write. Thanks a lot for your explanations.
Well, actually that compound has been found to be the most powerful in
vitro inhibitor for the enzyme with which I'm working. I wanted to
dock it as a validation for the parameters I chose for the docking
program (AutoDock). If the score thrown by AutoDock for this compound
was higher than for most of the ligands then I could assume that the
predictive ability of AutoDock with those parameters is fairly good. I
actually docked this compound with very good results (predicted energy
of binding = -10.83 kcal/mol). The structure I used was one that I
drew myself with Pymol builder based on the paper that mentioned that
it was a powerful inhibitor. But, I realized that I couldn't compare
this value with the predicted energies of binding for my drug
candidates because they were all ZINC structures. So, the ZINC
compounds had a correct protonation state while my compound didn't.
That's why I tried to use ZINC upload sets resource.
So, in my particular case it would be very helpful that ZINC gave back
a structure with the correct protonation, probably with a note that
the compound broke the rules.
Thanks again,
Asdrubal
Quoting "John J. Irwin" <jji at cgl.ucsf.edu>:
> Francesco
>>
>>> But given the famously high false positive rate of docking, the odds are
>>> against you.
>>>
>>
>> Is any criterion to detect, or suspect (on the basis of DOCK + Amber) false
>> positives?
>>
> That would be very useful! I can see how to rule *out* compounds by
> coding up the same rules of thumb we use when looking at top scoring
> hits (good overall steric, hydrophobic and shape complementarity,
> penalize stranded polarity, and missed opportunities in the
> protein-ligand complex. But I see this more as "getting rid of junk"
> rather than pretending to scrupulously eliminate false positives.
>
> John
>
>
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