schrodinger.protein.predictors module¶
This module contains classes that wrap prime backends that predict sequence structures. Many of the parameters and class constants are from a time when documentation was sparse. In the future, it’s possible we’ll tweak these numbers as needed.
- class schrodinger.protein.predictors.AbstractPredictor(*args, _param_type=<object object>, **kwargs)¶
Bases:
schrodinger.tasks.tasks.SubprocessCmdTask
Base class for all predictors. Derived classes are expected to implement class constants for:
EXE - A string that should match to the predictors executable. Most of the time this is the same as PREDICTOR_NAME
PREDICTOR_NAME - A string with the name of the predictor. This is used to find the Prime data directory that holds the model parameters used by the predictor.
CLASS_NUM - A parameter specific to the predictor. Usually found by looking through the Prime predictors source code.
NU - Another model parameter.
NY - Another model parameter.
In addition, derived classes should implement the following methods:
- generateInputFile - Should generate the required input file at
the file described by
input_fname
- prediction - Should read
self.getLogAsString()
and parse out the actual prediction from the backend
- makeCmd - This only needs to be implemented if the backend
- takes a command different from the form:
executable model_fname input_fname
- EXE = NotImplemented¶
- PREDICTOR_NAME = NotImplemented¶
- CLASS_NUM = NotImplemented¶
- NU = NotImplemented¶
- NY = NotImplemented¶
- class Input(*args, _param_type=<object object>, **kwargs)¶
Bases:
schrodinger.models.parameters.CompoundParam
- seq: schrodinger.protein.sequence.ProteinSequence¶
A parameter of the class.
- aln: schrodinger.protein.alignment.ProteinAlignment¶
A parameter of the class.
- alnChanged¶
A
pyqtSignal
emitted by instances of the class.
- alnReplaced¶
A
pyqtSignal
emitted by instances of the class.
- seqChanged¶
A
pyqtSignal
emitted by instances of the class.
- seqReplaced¶
A
pyqtSignal
emitted by instances of the class.
- input: parameters.CompoundParam¶
A parameter of the class.
- input_fname: str¶
A parameter of the class.
- model_fname: str¶
A parameter of the class.
- generateInputFile()¶
Generate the input file for the predictor. Typically includes a header (see
_getInputHeader
), the file name of the blast alignment, and the sequence to predict properties for.The input file should be written with the name
self.input_fname
.
- prediction()¶
Return the actual prediction. This can take various forms depending on the predictor.
- generateAlignmentFile()¶
Write the alignment file to be used as an input for the predictor. The file will be a temporary file and will be removed in
postprocess
.Gaps in the alignment file are represented as ‘.’.
- generateModelFile()¶
Generate the model definition file with the name
self.model_fname
. This is done by finding the Prime data directory for the predictor and getting the names of all the files in it.The model file includes a header describing the number of model files and the predictors class number (
self.CLASS_NUM
), and a list of the model files.
- makeCmd()¶
Return the command to run the predictor backend. The default implementation returns the predictor executable, the model file name, and the input file name.
- Return type
list[str]
- postprocess()¶
- calling_contextChanged¶
A
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emitted by instances of the class.
- calling_contextReplaced¶
A
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A
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- inputChanged¶
A
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- inputReplaced¶
A
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- input_fnameChanged¶
A
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- max_progressChanged¶
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A
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- model_fnameChanged¶
A
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- model_fnameReplaced¶
A
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- nameChanged¶
A
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- nameReplaced¶
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- outputChanged¶
A
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- outputReplaced¶
A
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- progressChanged¶
A
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A
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- progress_stringChanged¶
A
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A
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- statusChanged¶
A
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- statusReplaced¶
A
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emitted by instances of the class.
- class schrodinger.protein.predictors.SsproPredictor(*args, _param_type=<object object>, **kwargs)¶
Bases:
schrodinger.protein.predictors.AbstractPredictor
Secondary structure predictor.
- EXE = 'sspro4'¶
- PREDICTOR_NAME = 'sspro'¶
- CLASS_NUM = 3¶
- NU = 20¶
- NY = 3¶
- input_fname: str¶
A parameter of the class.
- model_fname: str¶
A parameter of the class.
- generateInputFile()¶
Generate the input file for the predictor. Typically includes a header (see
_getInputHeader
), the file name of the blast alignment, and the sequence to predict properties for.The input file should be written with the name
self.input_fname
.
- makeCmd()¶
Usage: $PSP_PATH/sspro4 model_definition dataset_file alignment_directory dataset_format
- rawPrediction()¶
- Returns
The raw prediction string containing one character per residue in the input sequence.
- Return type
str
- prediction()¶
- Returns
A list of ssa types from
structure
, one for each element inself.input.sequence
- Return type
list
- calling_contextChanged¶
A
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emitted by instances of the class.
- calling_contextReplaced¶
A
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A
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A
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- input: parameters.CompoundParam¶
A parameter of the class.
- inputChanged¶
A
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- inputReplaced¶
A
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A
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A
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A
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A
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- progress_stringChanged¶
A
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A
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- statusChanged¶
A
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- class schrodinger.protein.predictors.SolventAccessibility¶
Bases:
schrodinger.models.jsonable.JsonableEnum
- BURIED = 1¶
- EXPOSED = 2¶
- class schrodinger.protein.predictors.AccproPredictor(*args, _param_type=<object object>, **kwargs)¶
Bases:
schrodinger.protein.predictors.AbstractPredictor
Solvent accessibility predictor.
- EXE = 'accpro'¶
- PREDICTOR_NAME = 'accpro'¶
- CLASS_NUM = 20¶
- NU = 20¶
- NY = 3¶
- input_fname: str¶
A parameter of the class.
- model_fname: str¶
A parameter of the class.
- CHAR_TO_ACC_MAP = {'b': SolventAccessibility.BURIED, 'e': SolventAccessibility.EXPOSED}¶
- generateInputFile()¶
Generate the input file for the predictor. Typically includes a header (see
_getInputHeader
), the file name of the blast alignment, and the sequence to predict properties for.The input file should be written with the name
self.input_fname
.
- makeCmd()¶
Usage: $PSP_PATH/accpro model_definition dataset_file alignment_directory dataset_format threshold_index
- rawPrediction()¶
- Example:
eeebbbebebebebbebbebebeebbbbbbbeeeee
e = exposed b = buried
- prediction()¶
Return the actual prediction. This can take various forms depending on the predictor.
- calling_contextChanged¶
A
pyqtSignal
emitted by instances of the class.
- calling_contextReplaced¶
A
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emitted by instances of the class.
- failure_infoChanged¶
A
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emitted by instances of the class.
- failure_infoReplaced¶
A
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emitted by instances of the class.
- input: parameters.CompoundParam¶
A parameter of the class.
- inputChanged¶
A
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- inputReplaced¶
A
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- input_fnameChanged¶
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- input_fnameReplaced¶
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- max_progressChanged¶
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- max_progressReplaced¶
A
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- model_fnameChanged¶
A
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- model_fnameReplaced¶
A
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- nameChanged¶
A
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A
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A
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A
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- statusChanged¶
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A
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- schrodinger.protein.predictors.encode_acc(acc)¶
- class schrodinger.protein.predictors.Disordered¶
Bases:
schrodinger.models.jsonable.JsonableEnum
- HIGHSCORE = 1¶
- MEDIUMSCORE = 2¶
- LOWSCORE = 3¶
- class schrodinger.protein.predictors.SsAccDependentPredictors(*args, _param_type=<object object>, **kwargs)¶
Bases:
schrodinger.protein.predictors.AbstractPredictor
Base class for predictors that use secondary structure and solvent accessibility predictions as inputs.
- class Input(*args, _param_type=<object object>, **kwargs)¶
Bases:
schrodinger.models.parameters.CompoundParam
- seq: schrodinger.protein.sequence.ProteinSequence¶
A parameter of the class.
- aln: schrodinger.protein.alignment.ProteinAlignment¶
A parameter of the class.
- ss_prediction: str¶
A parameter of the class.
- acc_prediction: str¶
A parameter of the class.
- acc_predictionChanged¶
A
pyqtSignal
emitted by instances of the class.
- acc_predictionReplaced¶
A
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emitted by instances of the class.
- alnChanged¶
A
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emitted by instances of the class.
- alnReplaced¶
A
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- seqChanged¶
A
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- seqReplaced¶
A
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- ss_predictionChanged¶
A
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emitted by instances of the class.
- ss_predictionReplaced¶
A
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emitted by instances of the class.
- input: parameters.CompoundParam¶
A parameter of the class.
- calling_contextChanged¶
A
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- calling_contextReplaced¶
A
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A
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A
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- class schrodinger.protein.predictors.DisproPredictor(*args, _param_type=<object object>, **kwargs)¶
Bases:
schrodinger.protein.predictors.SsAccDependentPredictors
Disordered regions predictor.
- EXE = 'dispro'¶
- PREDICTOR_NAME = 'dispro'¶
- CLASS_NUM = 2¶
- NU = 25¶
- NY = 2¶
- input_fname: str¶
A parameter of the class.
- model_fname: str¶
A parameter of the class.
- makeCmd()¶
Return the command to run the predictor backend. The default implementation returns the predictor executable, the model file name, and the input file name.
- Return type
list[str]
- generateInputFile()¶
Generate the input file for the predictor. Typically includes a header (see
_getInputHeader
), the file name of the blast alignment, and the sequence to predict properties for.The input file should be written with the name
self.input_fname
.
- rawPrediction()¶
- prediction()¶
Return the actual prediction. This can take various forms depending on the predictor.
- calling_contextChanged¶
A
pyqtSignal
emitted by instances of the class.
- calling_contextReplaced¶
A
pyqtSignal
emitted by instances of the class.
- failure_infoChanged¶
A
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emitted by instances of the class.
- failure_infoReplaced¶
A
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emitted by instances of the class.
- input: parameters.CompoundParam¶
A parameter of the class.
- inputChanged¶
A
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- inputReplaced¶
A
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- input_fnameChanged¶
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- class schrodinger.protein.predictors.DomainArrangement¶
Bases:
schrodinger.models.jsonable.JsonableEnum
- Interdomain = 1¶
- DomainForming = 2¶
- class schrodinger.protein.predictors.DomproPredictor(*args, _param_type=<object object>, **kwargs)¶
Bases:
schrodinger.protein.predictors.SsAccDependentPredictors
Domain arrangement predictor.
- EXE = 'dompro'¶
- PREDICTOR_NAME = 'dompro'¶
- CLASS_NUM = 2¶
- NU = 25¶
- NY = 3¶
- input_fname: str¶
A parameter of the class.
- model_fname: str¶
A parameter of the class.
- makeCmd()¶
Return the command to run the predictor backend. The default implementation returns the predictor executable, the model file name, and the input file name.
- Return type
list[str]
- generateInputFile()¶
Generate the input file for the predictor. Typically includes a header (see
_getInputHeader
), the file name of the blast alignment, and the sequence to predict properties for.The input file should be written with the name
self.input_fname
.
- rawPrediction()¶
- prediction()¶
Return the actual prediction. This can take various forms depending on the predictor.
- calling_contextChanged¶
A
pyqtSignal
emitted by instances of the class.
- calling_contextReplaced¶
A
pyqtSignal
emitted by instances of the class.
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A
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A
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- input: parameters.CompoundParam¶
A parameter of the class.
- inputChanged¶
A
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- class schrodinger.protein.predictors.DiproPredictor(*args, _param_type=<object object>, **kwargs)¶
Bases:
schrodinger.protein.predictors.SsAccDependentPredictors
Disulfide bonds predictor.
- EXE = 'dipro'¶
- PREDICTOR_NAME = 'dipro'¶
- CLASS_NUM = 0.5¶
- input_fname: str¶
A parameter of the class.
- model_fname: str¶
A parameter of the class.
- class DiproFormat¶
Bases:
enum.IntEnum
For use with command line invocation.
- Alessandro = 1¶
- NewDipro = 2¶
- makeCmd()¶
Usage: $PSP_PATH/dipro model_file sequence_file alignment_file format
- generateInputFile()¶
Generate the input file for the predictor. Typically includes a header (see
_getInputHeader
), the file name of the blast alignment, and the sequence to predict properties for.The input file should be written with the name
self.input_fname
.
- prediction()¶
- Returns
A list of disulfide bonds represented by 2-tuples with two residue indexes
- Return type
list[tuple[int]]
- calling_contextChanged¶
A
pyqtSignal
emitted by instances of the class.
- calling_contextReplaced¶
A
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A
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A
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- input: parameters.CompoundParam¶
A parameter of the class.
- inputChanged¶
A
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- class schrodinger.protein.predictors.BetaproPredictor(*args, _param_type=<object object>, **kwargs)¶
Bases:
schrodinger.protein.predictors.AbstractPredictor
Beta strand contacts predictor
- EXE = 'betapro'¶
- PREDICTOR_NAME = 'betapro'¶
- CLASS_NUM = ''¶
- NU = 20¶
- NY = 3¶
- input_fname: str¶
A parameter of the class.
- model_fname: str¶
A parameter of the class.
- class Input(*args, _param_type=<object object>, **kwargs)¶
Bases:
schrodinger.models.parameters.CompoundParam
- seq: schrodinger.protein.sequence.ProteinSequence¶
A parameter of the class.
- aln: schrodinger.protein.alignment.ProteinAlignment¶
A parameter of the class.
- ss_prediction: str¶
A parameter of the class.
- alnChanged¶
A
pyqtSignal
emitted by instances of the class.
- alnReplaced¶
A
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- seqChanged¶
A
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- seqReplaced¶
A
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- ss_predictionChanged¶
A
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emitted by instances of the class.
- ss_predictionReplaced¶
A
pyqtSignal
emitted by instances of the class.
- input: parameters.CompoundParam¶
A parameter of the class.
- generateInputFile()¶
Generate the input file for the predictor. Typically includes a header (see
_getInputHeader
), the file name of the blast alignment, and the sequence to predict properties for.The input file should be written with the name
self.input_fname
.
- makeCmd()¶
Usage: $PSP_PATH/betapro model_file, protein_file, alignment_file
- prediction()¶
Return the actual prediction. This can take various forms depending on the predictor.
- calling_contextChanged¶
A
pyqtSignal
emitted by instances of the class.
- calling_contextReplaced¶
A
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A
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A
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A
pyqtSignal
emitted by instances of the class.
- progressReplaced¶
A
pyqtSignal
emitted by instances of the class.
- progress_stringChanged¶
A
pyqtSignal
emitted by instances of the class.
- progress_stringReplaced¶
A
pyqtSignal
emitted by instances of the class.
- statusChanged¶
A
pyqtSignal
emitted by instances of the class.
- statusReplaced¶
A
pyqtSignal
emitted by instances of the class.
- class schrodinger.protein.predictors.PredictorWrapperTask(*args, _param_type=<object object>, **kwargs)¶
Bases:
schrodinger.tasks.tasks.BlockingFunctionTask
Task to run a specific predictor.
- __init__(anno=None, seq=None, blast_aln=None)¶
- validateInput()¶
- mainFunction()¶
- calling_contextChanged¶
A
pyqtSignal
emitted by instances of the class.
- calling_contextReplaced¶
A
pyqtSignal
emitted by instances of the class.
- failure_infoChanged¶
A
pyqtSignal
emitted by instances of the class.
- failure_infoReplaced¶
A
pyqtSignal
emitted by instances of the class.
- inputChanged¶
A
pyqtSignal
emitted by instances of the class.
- inputReplaced¶
A
pyqtSignal
emitted by instances of the class.
- max_progressChanged¶
A
pyqtSignal
emitted by instances of the class.
- max_progressReplaced¶
A
pyqtSignal
emitted by instances of the class.
- nameChanged¶
A
pyqtSignal
emitted by instances of the class.
- nameReplaced¶
A
pyqtSignal
emitted by instances of the class.
- outputChanged¶
A
pyqtSignal
emitted by instances of the class.
- outputReplaced¶
A
pyqtSignal
emitted by instances of the class.
- progressChanged¶
A
pyqtSignal
emitted by instances of the class.
- progressReplaced¶
A
pyqtSignal
emitted by instances of the class.
- progress_stringChanged¶
A
pyqtSignal
emitted by instances of the class.
- progress_stringReplaced¶
A
pyqtSignal
emitted by instances of the class.
- statusChanged¶
A
pyqtSignal
emitted by instances of the class.
- statusReplaced¶
A
pyqtSignal
emitted by instances of the class.
- schrodinger.protein.predictors.predict_secondary_structure(seq, aln, mutate_in_place=True)¶
- schrodinger.protein.predictors.predict_solvent_accessibility(seq, aln, mutate_in_place=True)¶
- schrodinger.protein.predictors.predict_disordered_regions(seq, aln, mutate_in_place=True)¶
- schrodinger.protein.predictors.predict_domain_arrangement(seq, aln, mutate_in_place=True)¶
- schrodinger.protein.predictors.predict_disulfide_bond(seq, aln, mutate_in_place=True)¶
- schrodinger.protein.predictors.encode_ssa(ssa)¶