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GPF file prepared by Meeko #87
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Hi @vsheg
This might have something to do with a hard limit of 16 for the total number of maps (1 desolvation + 1 electrostatic + at most 14 ligand affinity maps). In autogrid4, the number 16 is set in src/autodock/autocomm.h: #define MAX_MAPS_PAD 0 // Use this to pad MAX_MAPS to a power of 2, for presumably-faster memory access
#define NUM_NON_VDW_MAPS 2 // Number of electrostatic and desolvation maps
#define MAX_ATOM_TYPES (16 - NUM_NON_VDW_MAPS) /* Maximum number of atom types set to keep MAX_MAPS a power of 2 */
#define MAX_MAPS (MAX_ATOM_TYPES + NUM_NON_VDW_MAPS + MAX_MAPS_PAD) /* Maximum number of energy maps */
/* 0,1,2,... are for atomic interactions */
/* last two are for electrostatics and desolvation */
#define VECLENMAX 16 /* For AVS fld files... This number is increased to 50 in the patched version with WaterKit |
@rwxayheee |
Hi, I'm using Meeko's
mk_prepare_receptor.py
(v0.5.0 from PyPI) and I've noticed that in a generated GPF file some atom types (Cl
andCL
andBr
andBR
) are duplicated.receptor.gpf
As I can see from AutoDock 4.2 User Guide, parameters for
Br
andBR
,Cl
andCL
are the same.❓: Why Meeko generates output with duplicated atom types?
Also, I have strange behaviour with AutoGrid4. When I run it with GPF generated by Meeko, I see a strange error
Output with the error
I figured out, that when I decrease the number of atom specific types and maps to ≤14, AutoGrid4 works fine. I tried with AutoGrid from AutoDock Suite (Win) and from Bioconda (macOS).
When I use the patched version provided by
WaterKit
(Linux), everything works fine with any number or atom types.❓: Is it expected behaviour of AutoGrid4 to not accept GPF with 15+ ligand atom types?
I would really appreciate it if you help me to understand this. Thank you
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