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Finding all ligands in a map with phenix.find_all_ligands
Author(s)
Purposephenix.find_all_ligands is a command line tool for finding all the ligands in a map by repetitively running phenix.ligandfit with a series of ligands and choosing the best-fitting one at each cycle. UsageHow phenix.find_all_ligands works:The basic procedure for phenix.find_all_ligands has three steps. The first is to identify the largest contiguous region of density in your map that is not already occupied by your model or previously-fitted ligands. The second is to fit each ligand (you identify the candidate ligands in advance) into this density. The third is to choose the one that fits the density the best. Then the best-fitting ligand is added to the structure and the process is repeated until the number of ligands you request is found or the correlation of ligand to the map drops below the value you specify (default=0.5). Output files from phenix.find_all_ligandsThe output ligand files from phenix.find_all_ligands are normally in the temporary directory (default='temp_dir'). They will be files with names such as "SITE_1_ATP.pdb" for the placement of ATP in the first site fitted. ExamplesStandard run of phenix.find_all_ligands:Running phenix.find_all_ligands is easy. Usually you will want to edit a small parameter file (find_all_ligands.eff) to contain your commands like this, where the ligandfit commands are sent to phenix.ligandfit: for the actual fitting and the find_all_ligands commands determine what searches are done: type: # commands for running phenix.find_all_ligands
find_all_ligands {
number_of_ligands = 5
cc_min = 0.5
ligand_list = ATP.pdb NAD.pdb
nproc = 2
}
ligandfit {
data = "nsf-d2.mtz"
model = "nsf-d2_noligand.pdb"
lig_map_type = fo-fc_difference_map
}
You might also want to add to this some additional commands for
phenix.ligandfit. Any commands for ligandfit
are allowed,
except that the commands "ligand" and "input_lig_file"
are ignored as the input ligand comes from the find_all_ligands
command "ligand_list":
# find_all_ligands.eff more commands for ligandfit
ligandfit {
data = "nsf-d2.mtz"
model = "nsf-d2_noligand.pdb"
lig_map_type = fo-fc_difference_map
ligand_cc_min = 0.75
verbose = Yes
}
where you can put any phenix.ligandfit commands in the braces.
Then you can run this with the command:
phenix.find_all_ligands find_all_ligands.eff Possible ProblemsSpecific limitations and problems:
LiteratureAdditional informationNOTE: in addition to the find_all_ligands keywords shown here, all phenix.ligandfit commands are also allowed, except that the commands "ligand" and "input_lig_file" are ignored as the input ligand comes from the find_all_ligands. List of all find_all_ligands keywords
-------------------------------------------------------------------------------
Legend: black bold - scope names
black - parameter names
red - parameter values
blue - parameter help
blue bold - scope help
Parameter values:
* means selected parameter (where multiple choices are available)
False is No
True is Yes
None means not provided, not predefined, or left up to the program
"%3d" is a Python style formatting descriptor
-------------------------------------------------------------------------------
find_all_ligands
number_of_ligands= None Total number of ligand sites. Ignored if "None".
find_all_ligands will keep looking until the correlation
coefficient for the fit of the best ligand is less than
cc_min or the number of ligands placed is
number_of_ligands, whichever comes first
cc_min= 0.50 Ignored if "None". find_all_ligands will keep looking until
the correlation coefficient for the fit of the best ligand is less
than cc_min or the number of ligands placed is number_of_ligands,
whichever comes first
ligand_list= None List of files with ligands to find
nproc= 1 number of processors to use
background= True run jobs in background or not (if nproc is greater than 1)
run_command= "sh " Command for running jobs (e.g., sh or qsub )
verbose= False verbose output
raise_sorry= False Raise sorry if problems
debug= False debugging output
temp_dir= Auto Optional temporary work directory
output_dir= "" Output directory where files are to be written
dry_run= False Just read in and check parameter names
check_wait_time= 1.0 You can specify the length of time (seconds) to wait
between checking for subprocesses to end
wait_between_submit_time= 1.0 You can specify the length of time (seconds)
to wait between each job that is submitted when
running sub-processes. This can be helpful on
NFS-mounted systems when running with multiple
processors to avoid file conflicts. The symptom
of too short a wait_between_submit_time is File
exists:....
ligandfit
data= None Datafile. This can be any format if only FP is to be read in. If
phases are to be read in then MTZ format is required. The Wizard will
guess the column identification. If you want to specify it you can
say input_labels="FP" , or input_labels="FP PHIB
FOM".
ligand= None Three-letter code of ligand, or file containing information
about the ligand (PDB or SMILES)
model= None PDB file with model for everything but the ligand
quick= False Set to True for running as quickly as possible.
crystal_info
unit_cell= None Enter cell parameter a b c alpha beta gamma
resolution= 0 High-resolution limit. Zero means keep everything.
space_group= None Space Group symbol (i.e., C2221 or C 2 2 21)
file_info
file_or_file_list= *single_file file_with_list_of_files Choose if you
want to input a single file with PDB or other
information about the ligand or if you want to input
a file containing a list of files with this
information for a list of ligands
input_labels= None Labels for input data columns
lig_map_type= fo-fc_difference_map fobs_map *pre_calculated_map_coeffs
Enter the type of map to use in ligand fitting
fo-fc_difference_map: Fo-Fc difference map phased on
partial model (requires FOBS in your input file) fobs_map:
Fo map phased on partial model (requires FOBS in your
input file) pre_calculated_map_coeffs: map calculated from
FP PHIB [FOM] coefficients in input data file (or 2FOFCWT
PH2FOFCWT coeffs)
ligand_format= *PDB SMILES Enter whether the files contain SMILES
strings or PDB formatted information
input_files
existing_ligand_file_list= None You can enter a list of PDB files with
ligands you have already fit. These will be
used to exclude that region from
consideration.
ligand_start= None LigandFit will attempt to put your ligand
superimposing on ligand_start if supplied. This must have
some of the same atoms as your ligand, but does not have
to have all of them.
ncs_in= None You can supply a file with NCS information for use with
ligands_from_ncs
input_ligand_compare_file= None If you enter a PDB file with a ligand in
it, the coordinates of the newly-built ligand
will be compared with the coordinates in this
file.
cif_def_file_list= None You can supply cif files for real-space
refinement after fitting
refinement_file= None You can supply a file for full refinement
containing F/I SIGF/SIGI FreeR_flag If you supply this
file then after real-space refinement a round of full
refinement will be carried out with phenix.refine
fobs_labels= None Labels for Fobs SigFobs or Iobs SigIobs for
refinement_file... same format as for phenix.refine
r_free_label= None Label for FreeR_flag in refinement_file...same format
as for phenix.refine
search_parameters
conformers= 1 Enter how many conformers to create. If greater than 1,
then ELBOW will always be used to generate them. If 1 then
ELBOW will be used if a PDB file is not specified. These
conformers are used to identify allowed torsion angles for
your ligand. The alternative is to use the empirical rules
in RESOLVE. ELBOW takes longer but is more accurate.
group_search= 0 Enter the ID number of the group from the ligand to use
to seed the search for conformations
ligand_cc_min= 0.75 Enter the minimum correlation coefficient of the
ligand to the map to quit searching for more
conformations
ligand_completeness_min= 1 Enter the minimum completeness of the ligand
to the map to quit searching for more
conformations
local_search= True If local_search is True then, only the region within
search_dist of the point in the map with the highest local
rmsd will be searched in the FFT search for fragments
search_dist= 10 If local_search is True then, only the region within
this distance of the point in the map with the highest
local rmsd will be searched in the FFT search for fragments
use_cc_local= False You can specify the use of a local correlation
coefficient for scoring ligand fits to the map. If you do
not do this, then the region over which the ligand is
scored are all points within 2.5 A of the atoms in the
ligand. If you do specify use_cc_local, then the region
over which the ligand is scored are all these points, plus
all the contingous points that have density greater than
0.5 * sigma .
ligands_from_ncs= False You can try to use ncs (from your partial model
file or from your ncs_in file) along with any ligands
already found to place additional copies of your
ligand. Only applicable if there is one type of
ligand.
max_ligands_from_ncs= 1 You can specify how many of the ligands already
found to consider using NCS (usually 1)
n_group_search= 3 Enter the number of different fragments of the ligand
that will be looked for in FFT search of the map
n_indiv_tries_max= 10 If 0 is specified, all fragments are searched at
once otherwise all are first searched at once then
individually up to the number specified
n_indiv_tries_min= 5 If 0 is specified, all placements of a fragment are
tested at once otherwise all are first tested at once
then individually up to the number specified
number_of_ligands= 1 Number of copies of the ligand expected in the
asymmetric unit
offsets_list= 7 53 29 You can specify an offset for the orientation of
the templates in searching for ligands. This is used in
generating diversity in models.
refine_ligand= True You can carry out real-space refinement on the
ligand after fitting
ligand_occupancy= 1.0 You can set the initial occupancy of the ligand
real_space_target_weight= 10. You can carry change the weight on the
real-space term in real-space refinement on
the ligand after fitting
fitting Parameters for tracing ligand
delta_phi_ligand= 40 Specify the angle (degrees) between successive
tries in FFT search for fragments
fit_phi_inc= 20 Specify the angle (degrees) between rotations around
bonds
fit_phi_range= -180 180 Range of bond rotation angles to search
search_target
ligand_near_chain= None You can specify where to search for the ligand
either with search_center or with ligand_near_res and
ligand_near_chain. If you set
ligand_near_chain="None" or leave it blank
or do not set it, then all chains will be included.
The keywords ligand_near_res and ligand_near_chain
refer to residue/chain in the file defined by
input_partial_model_file (or model if running from
command line).
ligand_near_res= None You can specify where to search for the ligand
either with search_center or with ligand_near_res and
ligand_near_chain The keywords ligand_near_res and
ligand_near_chain refer to residue/chain in the file
defined by input_partial_model_file (or model if
running from command line).
ligand_near_pdb= None You can specify where LigandFit should look for
your ligands by providing a PDB file containing one or
more copies of the ligand. If you want you can provide
a PDB file with ligand+ macromolecule and specify the
ligand name with name_of_ligand_near_pdb.
name_of_ligand_near_pdb= None You can specify where LigandFit should
look for your ligands by providing a PDB file
containing one or more copies of the ligand. If
you want you can provide a PDB file with
ligand+ macromolecule and specify the ligand
name with name_of_ligand_near_pdb.
search_center= 0.0 0.0 0.0 Enter coordinates for center of search region
(ignored if [0.,0.,0.])
general
extend_try_list= True You can fill out the list of parallel jobs to
match the number of jobs you want to run at one time,
as specified with nbatch.
ligand_id= None You can specify an integer value for the ID of a
ligand... This number will be added to whatever residue
number the ligand search model in input_lig_file has. The
keyword is only valid if a single copy of the ligand is to be
found.
nbatch= 5 You can specify the number of processors to use (nproc) and
the number of batches to divide the data into for parallel jobs.
Normally you will set nproc to the number of processors
available and leave nbatch alone. If you leave nbatch as None it
will be set automatically, with a value depending on the Wizard.
This is recommended. The value of nbatch can affect the results
that you get, as the jobs are not split into exact replicates,
but are rather run with different random numbers. If you want to
get the same results, keep the same value of nbatch.
nproc= 1 You can specify the number of processors to use (nproc) and the
number of batches to divide the data into for parallel jobs.
Normally you will set nproc to the number of processors available
and leave nbatch alone. If you leave nbatch as None it will be
set automatically, with a value depending on the Wizard. This is
recommended. The value of nbatch can affect the results that you
get, as the jobs are not split into exact replicates, but are
rather run with different random numbers. If you want to get the
same results, keep the same value of nbatch. If you set
nproc=Auto and your machine has n processors, then it will use
n-1 processors, or 1 if only 1 is available
resolve_command_list= None Commands for resolve. One per line in the
form: keyword value value can be optional
Examples: coarse_grid resolution 200 2.0 hklin
test.mtz NOTE: for command-line usage you need to
enclose the whole set of commands in double quotes
(") and each individual command in single
quotes (') like this:
resolve_command_list="'no_build' 'b_overall
23' "
coot_name= "coot" If your version of coot is called something else, then
you can specify that here.
i_ran_seed= 72432 Random seed (positive integer) for model-building and
simulated annealing refinement
raise_sorry= False You can have any failure end with a Sorry instead of
simply printout to the screen
background= True When you specify nproc=nn, you can run the jobs in
background (default if nproc is greater than 1) or
foreground (default if nproc=1). If you set run_command=qsub
(or otherwise submit to a batch queue), then you should set
background=False, so that the batch queue can keep track of
your runs. There is no need to use background=True in this
case because all the runs go as controlled by your batch
system. If you use run_command='sh ' (or similar, sh is
default) then normally you will use background=True so that
all the jobs run simultaneously.
check_wait_time= 1.0 You can specify the length of time (seconds) to
wait between checking for subprocesses to end
max_wait_time= 1.0 You can specify the length of time (seconds) to wait
when looking for a file. If you have a cluster where jobs
do not start right away you may need a longer time to
wait. The symptom of too short a wait time is 'File not
found'
wait_between_submit_time= 1.0 You can specify the length of time
(seconds) to wait between each job that is
submitted when running sub-processes. This can
be helpful on NFS-mounted systems when running
with multiple processors to avoid file
conflicts. The symptom of too short a
wait_between_submit_time is File exists:....
cache_resolve_libs= True Use caching of resolve libraries to speed up
resolve
resolve_size= 12 Size for solve/resolve
("","_giant",
"_huge","_extra_huge" or a number
where 12=giant 18=huge
check_run_command= False You can have the wizard check your run command
at startup
run_command= "sh " When you specify nproc=nn, you can run the
subprocesses as jobs in background with sh (default) or
submit them to a queue with the command of your choice
(i.e., qsub ). If you have a multi-processor machine, use
sh. If you have a cluster, use qsub or the equivalent
command for your system. NOTE: If you set run_command=qsub
(or otherwise submit to a batch queue), then you should set
background=False, so that the batch queue can keep track of
your runs. There is no need to use background=True in this
case because all the runs go as controlled by your batch
system. If nproc is greater than 1 and you use
run_command='sh '(or similar, sh is default) then normally
you will use background=True so that all the jobs run
simultaneously.
queue_commands= None You can add any commands that need to be run for
your queueing system. These are written before any other
commands in the file that is submitted to your queueing
system. For example on a PBS system you might say:
queue_commands='#PBS -N mr_rosetta' queue_commands='#PBS
-j oe' queue_commands='#PBS -l walltime=03:00:00'
queue_commands='#PBS -l nodes=1:ppn=1' NOTE: you can put
in the characters '
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