parser - operations on modX peptide sequences¶

modX is a simple extension of the IUPAC one-letter peptide sequence representation.

The labels (or codes) for the 20 standard amino acids in modX are the same as in IUPAC nomeclature. A label for a modified amino acid has a general form of ‘modX’, i.e.:

it starts with an arbitrary number of lower-case symbols or numbers (a modification);
it ends with a single upper-case symbol (an amino acid residue).

The valid examples of modX amino acid labels are: ‘G’, ‘pS’, ‘oxM’. This rule allows to combine read- and parseability.

Besides the sequence of amino acid residues, modX has a rule to specify terminal modifications (alternative terminal groups) of a polypeptide. Such a label should start or end with a hyphen. The default N-terminal amine group and C-terminal carboxyl group may not be shown explicitly.

Therefore, valid examples of peptide sequences in modX are: “GAGA”, “H-PEPTIDE-OH”, “H-TEST-NH2”. It is not recommmended to specify only one terminal group.

Operations on polypeptide sequences¶

parse() - convert a sequence string into a list of amino acid residues.

to_string() - convert a parsed sequence to a string.

to_proforma() - convert a (parsed) modX sequence to ProForma.

amino_acid_composition() - get numbers of each amino acid residue in a peptide.

cleave(), icleave(), xcleave() - cleave a polypeptide using a given rule of enzymatic digestion.

num_sites() - count the number of cleavage sites in a sequence.

peptidoforms() - generate all unique modified peptide sequences given the initial sequence and modifications.

Auxiliary commands¶

coverage() and coverage_mask() - calculate the sequence coverage of a protein by peptides.

length() - calculate the number of amino acid residues in a polypeptide.

strip() - remove all modifications and terminal groups from a modX sequence.

valid() - check if a sequence can be parsed successfully.

fast_valid() - check if a sequence contains of known one-letter codes.

is_modX() - check if supplied code corresponds to a modX label.

is_term_group() - check if supplied code corresponds to a terminal group.

Data¶

std_amino_acids - a list of the 20 standard amino acid IUPAC codes.

std_nterm - the standard N-terminal modification (the unmodified group is a single atom of hydrogen).

std_cterm - the standard C-terminal modification (the unmodified group is hydroxyl).

std_labels - a list of all standard sequence elements, amino acid residues and terminal modifications.

expasy_rules and psims_rules - two dicts with the regular expressions of cleavage rules for the most popular proteolytic enzymes.

pyteomics.parser.amino_acid_composition(sequence, show_unmodified_termini=False, term_aa=False, allow_unknown_modifications=False, **kwargs)[source]¶

Calculate amino acid composition of a polypeptide.

Parameters:

sequence (str or list) – The sequence of a polypeptide or a list with a parsed sequence.
show_unmodified_termini (bool, optional) – If True then the unmodified N- and C-terminus are explicitly shown in the returned dict. Default value is False.
term_aa (bool, optional) – If True then the terminal amino acid residues are artificially modified with nterm or cterm modification. Default value is False.
allow_unknown_modifications (bool, optional) – If True then do not raise an exception when an unknown modification of a known amino acid residue is found in the sequence. Default value is False.
labels (list, optional) – A list of allowed labels for amino acids and terminal modifications.

Returns:

out – A dictionary of amino acid composition.

Return type:

dict

Examples

>>> amino_acid_composition('PEPTIDE') ==     {'I': 1, 'P': 2, 'E': 2, 'T': 1, 'D': 1}
True
>>> amino_acid_composition('PEPTDE', term_aa=True) ==     {'ctermE': 1, 'E': 1, 'D': 1, 'P': 1, 'T': 1, 'ntermP': 1}
True
>>> amino_acid_composition('PEPpTIDE', labels=std_labels+['pT']) ==     {'I': 1, 'P': 2, 'E': 2, 'D': 1, 'pT': 1}
True

pyteomics.parser.cleave(*args, **kwargs)[source]¶

Cleaves a polypeptide sequence using a given rule.

See also

icleave() and xcleave(), which produce both peptides and their indices.

Parameters:

sequence (str) –
The sequence of a polypeptide.

Note

The sequence is expected to be in one-letter uppercase notation. Otherwise, some of the cleavage rules in expasy_rules will not work as expected.
rule (str or compiled regex) –
A key present in expasy_rules, psims_rules (or an MS ontology accession) or a regular expression describing the site of cleavage. It is recommended to design the regex so that it matches only the residue whose C-terminal bond is to be cleaved. All additional requirements should be specified using lookaround assertions. expasy_rules contains cleavage rules for popular cleavage agents.

See also

The regex argument.
missed_cleavages (int, optional) – Maximum number of allowed missed cleavages. Defaults to 0.
min_length (int or None, optional) –
Minimum peptide length. Defaults to None.

Note

This checks for string length, which is only correct for one-letter notation and not for full modX. Use length() manually if you know what you are doing and apply cleave() to modX sequences.
max_length (int or None, optional) – Maximum peptide length. Defaults to None. See note above.
semi (bool, optional) – Include products of semi-specific cleavage. Default is False. This effectively cuts every peptide at every position and adds results to the output.
exception (str or compiled RE or None, optional) – Exceptions to the cleavage rule. If specified, should be a key present in expasy_rules or regular expression. Cleavage sites matching rule will be checked against exception and omitted if they match.
regex (bool, optional) – If True, the cleavage rule is always interpreted as a regex. Otherwise, a matching value is looked up in expasy_rules and psims_rules.

Returns:

out – A set of unique (!) peptides.

Return type:

set

Examples

>>> cleave('AKAKBK', expasy_rules['trypsin'], 0) == {'AK', 'BK'}
True
>>> cleave('AKAKBK', 'trypsin', 0) == {'AK', 'BK'}
True
>>> cleave('AKAKBK', 'MS:1001251', 0) == {'AK', 'BK'}
True
>>> cleave('GKGKYKCK', 'Trypsin/P', 2) ==     {'CK', 'GKYK', 'YKCK', 'GKGK', 'GKYKCK', 'GK', 'GKGKYK', 'YK'}
True

pyteomics.parser.coverage(protein, peptides, fast: bool = True) → float[source]¶

Calculate how much of protein is covered by peptides. Peptides can overlap. If a peptide is found multiple times in protein, it contributes more to the overall coverage.

Requires numpy.

Note

Modifications and terminal groups are discarded.

Parameters:

protein (str) – A protein sequence.
peptides (iterable) – An iterable of peptide sequences.
fast (bool, optional) – If True (default), assume that all sequences are one-letter uppercase and contain no modifications or terminal groups. If False, clean up sequences before processing.

Returns:

out – The sequence coverage, between 0 and 1.

Return type:

float

Examples

>>> coverage('PEPTIDES'*100, ['PEP', 'EPT'])
0.5

pyteomics.parser.coverage_mask(protein: str, peptides: Iterable, fast: bool = True) → np.ndarray[source]¶

Calculate a coverage mask of protein by peptides. Peptides can overlap. If a peptide is found multiple times in protein, it contributes more to the overall coverage.

Requires numpy.

Note

Modifications and terminal groups are discarded.

Parameters:

protein (str) – A protein sequence.
peptides (iterable) – An iterable of peptide sequences.
fast (bool, optional) – If True (default), assume that all sequences are one-letter uppercase and contain no modifications or terminal groups. If False, clean up sequences before processing.

Returns:

out – A 1D array of integers, with length equal to that of protein. Each position indicates how many peptides cover the corresponding residue in protein.

Return type:

numpy.ndarray

pyteomics.parser.expasy_rules = {'arg-c': 'R', 'asp-n': '\\w(?=D)', 'bnps-skatole': 'W', 'caspase 1': '(?<=[FWYL]\\w[HAT])D(?=[^PEDQKR])', 'caspase 10': '(?<=IEA)D', 'caspase 2': '(?<=DVA)D(?=[^PEDQKR])', 'caspase 3': '(?<=DMQ)D(?=[^PEDQKR])', 'caspase 4': '(?<=LEV)D(?=[^PEDQKR])', 'caspase 5': '(?<=[LW]EH)D', 'caspase 6': '(?<=VE[HI])D(?=[^PEDQKR])', 'caspase 7': '(?<=DEV)D(?=[^PEDQKR])', 'caspase 8': '(?<=[IL]ET)D(?=[^PEDQKR])', 'caspase 9': '(?<=LEH)D', 'chymotrypsin high specificity': '([FY](?=[^P]))|(W(?=[^MP]))', 'chymotrypsin low specificity': '([FLY](?=[^P]))|(W(?=[^MP]))|(M(?=[^PY]))|(H(?=[^DMPW]))', 'clostripain': 'R', 'cnbr': 'M', 'enterokinase': '(?<=[DE]{3})K', 'factor xa': '(?<=[AFGILTVM][DE]G)R', 'formic acid': 'D', 'glutamyl endopeptidase': 'E', 'granzyme b': '(?<=IEP)D', 'hydroxylamine': 'N(?=G)', 'iodosobenzoic acid': 'W', 'lysc': 'K', 'ntcb': '\\w(?=C)', 'pepsin ph1.3': '((?<=[^HKR][^P])[^R](?=[FL][^P]))|((?<=[^HKR][^P])[FL](?=\\w[^P]))', 'pepsin ph2.0': '((?<=[^HKR][^P])[^R](?=[FLWY][^P]))|((?<=[^HKR][^P])[FLWY](?=\\w[^P]))', 'proline endopeptidase': '(?<=[HKR])P(?=[^P])', 'proteinase k': '[AEFILTVWY]', 'staphylococcal peptidase i': '(?<=[^E])E', 'thermolysin': '[^DE](?=[AFILMV][^P])', 'thrombin': '((?<=G)R(?=G))|((?<=[AFGILTVM][AFGILTVWA]P)R(?=[^DE][^DE]))', 'trypsin': '([KR](?=[^P]))|((?<=W)K(?=P))|((?<=M)R(?=P))', 'trypsin_exception': '((?<=[CD])K(?=D))|((?<=C)K(?=[HY]))|((?<=C)R(?=K))|((?<=R)R(?=[HR]))'}¶

This dict contains regular expressions for cleavage rules of the most popular proteolytic enzymes. The rules were taken from the PeptideCutter tool at Expasy.

Note

‘trypsin_exception’ can be used as exception argument when calling cleave() with ‘trypsin’ rule:

>>> parser.cleave('PEPTIDKDE', parser.expasy_rules['trypsin'])
{'DE', 'PEPTIDK'}
>>> parser.cleave('PEPTIDKDE', parser.expasy_rules['trypsin'], exception=parser.expasy_rules['trypsin_exception'])
{'PEPTIDKDE'}

pyteomics.parser.fast_valid(sequence, labels={'-OH', 'A', 'C', 'D', 'E', 'F', 'G', 'H', 'H-', 'I', 'K', 'L', 'M', 'N', 'P', 'Q', 'R', 'S', 'T', 'V', 'W', 'Y'})[source]¶

Iterate over sequence and check if all items are in labels. With strings, this only works as expected on sequences without modifications or terminal groups.

Parameters:

sequence (iterable (expectedly, str)) – The sequence to check. A valid sequence would be a string of labels, all present in labels.
labels (iterable, optional) – An iterable of known labels.

Returns:

out

Return type:

bool

pyteomics.parser.icleave(sequence, rule, missed_cleavages=0, min_length=None, max_length=None, semi=False, exception=None, regex=False)[source]¶

Like cleave(), but the result is an iterator and includes peptide indices. Refer to cleave() for explanation of parameters.

Returns:: out – An iterator over (index, sequence) pairs.
Return type:: iterator

pyteomics.parser.is_modX(label)[source]¶

Check if label is a valid ‘modX’ label.

Parameters:: label (str)
Returns:: out
Return type:: bool

Examples

>>> is_modX('M')
True
>>> is_modX('oxM')
True
>>> is_modX('oxMet')
False
>>> is_modX('160C')
True

pyteomics.parser.is_term_group(label)[source]¶

Check if label corresponds to a terminal group.

Parameters:: label (str)
Returns:: out
Return type:: bool

Examples

>>> is_term_group('A')
False
>>> is_term_group('Ac-')
True
>>> is_term_group('-customGroup')
True
>>> is_term_group('this-group-')
False
>>> is_term_group('-')
False

pyteomics.parser.is_term_mod(label)¶

Check if label corresponds to a terminal group.

Parameters:: label (str)
Returns:: out
Return type:: bool

Examples

>>> is_term_group('A')
False
>>> is_term_group('Ac-')
True
>>> is_term_group('-customGroup')
True
>>> is_term_group('this-group-')
False
>>> is_term_group('-')
False

pyteomics.parser.isoforms(sequence, **kwargs)¶

Apply variable and fixed modifications to the polypeptide and yield the unique modified sequences.

Parameters:

sequence (str) – Peptide sequence to modify.
variable_mods (dict, optional) –
A dict of variable modifications in the following format: {'label1': ['X', 'Y', ...], 'label2': ['X', 'A', 'B', ...]}

Keys in the dict are modification labels (terminal modifications allowed). Values are iterables of residue labels (one letter each) or True. If a value for a modification is True, it is applicable to any residue (useful for terminal modifications). You can use values such as ‘ntermX’ or ‘ctermY’ to specify that a mdofication only occurs when the residue is in the terminal position. This is not needed for terminal modifications.

Note

Several variable modifications can occur on amino acids of the same type, but in the output each amino acid residue will be modified at most once (apart from terminal modifications).
fixed_mods (dict, optional) –
A dict of fixed modifications in the same format.

Note: if a residue is affected by a fixed modification, no variable modifications will be applied to it (apart from terminal modifications).
labels (list, optional) – A list of amino acid labels containing all the labels present in sequence. Modified entries will be added automatically. Defaults to std_labels. Not required since version 2.5.
max_mods (int or None, optional) – Number of modifications that can occur simultaneously on a peptide, excluding fixed modifications. If None or if max_mods is greater than the number of modification sites, all possible isoforms are generated. Default is None.
override (bool, optional) – Defines how to handle the residues that are modified in the input. False means that they will be preserved (default). True means they will be treated as unmodified.
show_unmodified_termini (bool, optional) – If True then the unmodified N- and C-termini are explicitly shown in the returned sequences. Default value is False.
format (str, optional) – If 'str' (default), an iterator over sequences is returned. If 'split', the iterator will yield results in the same format as parse() with the ‘split’ option, with unmodified terminal groups shown.

Returns:

out – All possible unique polypeptide sequences resulting from the specified modifications are yielded obe by one.

Return type:

iterator over strings or lists

pyteomics.parser.length(sequence, **kwargs)[source]¶

Calculate the number of amino acid residues in a polypeptide written in modX notation.

Parameters:

sequence (str or list or dict) – A string with a polypeptide sequence, a list with a parsed sequence or a dict of amino acid composition.
labels (list, optional) – A list of allowed labels for amino acids and terminal modifications.

Returns:

out

Return type:

int

Examples

>>> length('PEPTIDE')
7
>>> length('H-PEPTIDE-OH')
7

pyteomics.parser.match_modX(label)[source]¶

Check if label is a valid ‘modX’ label.

Parameters:: label (str)
Returns:: out
Return type:: re.match or None

pyteomics.parser.num_sites(sequence, rule, **kwargs)[source]¶

Count the number of sites where sequence can be cleaved using the given rule (e.g. number of miscleavages for a peptide).

Parameters:

sequence (str) – The sequence of a polypeptide.
rule (str or compiled regex) –
A regular expression describing the site of cleavage. It is recommended to design the regex so that it matches only the residue whose C-terminal bond is to be cleaved. All additional requirements should be specified using lookaround assertions.
labels (list, optional) – A list of allowed labels for amino acids and terminal modifications.
exception (str or compiled RE or None, optional) – Exceptions to the cleavage rule. If specified, should be a regular expression. Cleavage sites matching rule will be checked against exception and omitted if they match.

Returns:

out – Number of cleavage sites.

Return type:

int

pyteomics.parser.parse(sequence, show_unmodified_termini=False, split=False, allow_unknown_modifications=False, **kwargs)[source]¶

Parse a sequence string written in modX notation into a list of labels or (if split argument is True) into a list of tuples representing amino acid residues and their modifications.

Parameters:

sequence (str) – The sequence of a polypeptide.
show_unmodified_termini (bool, optional) – If True then the unmodified N- and C-termini are explicitly shown in the returned list. Default value is False.
split (bool, optional) – If True then the result will be a list of tuples with 1 to 4 elements: terminal modification, modification, residue. Default value is False.
allow_unknown_modifications (bool, optional) –
If True then do not raise an exception when an unknown modification of a known amino acid residue is found in the sequence. This also includes terminal groups. Default value is False.

Note

Since version 2.5, this parameter has effect only if labels are provided.
labels (container, optional) –
A container of allowed labels for amino acids, modifications and terminal modifications. If not provided, no checks will be done. Separate labels for modifications (such as ‘p’ or ‘ox’) can be supplied, which means they are applicable to all residues.

Warning

If show_unmodified_termini is set to True, standard terminal groups need to be present in labels.

Warning

Avoid using sequences with only one terminal group, as they are ambiguous. If you provide one, labels (or std_labels) will be used to resolve the ambiguity.

Returns:

out – List of tuples with labels of modifications and amino acid residues.

Return type:

list

Examples

>>> parse('PEPTIDE', split=True)
[('P',), ('E',), ('P',), ('T',), ('I',), ('D',), ('E',)]
>>> parse('H-PEPTIDE')
['P', 'E', 'P', 'T', 'I', 'D', 'E']
>>> parse('PEPTIDE', show_unmodified_termini=True)
['H-', 'P', 'E', 'P', 'T', 'I', 'D', 'E', '-OH']
>>> parse('TEpSToxM', labels=std_labels + ['pS', 'oxM'])
['T', 'E', 'pS', 'T', 'oxM']
>>> parse('zPEPzTIDzE', True, True, labels=std_labels+['z'])
[('H-', 'z', 'P'), ('E',), ('P',), ('z', 'T'), ('I',), ('D',), ('z', 'E', '-OH')]
>>> parse('Pmod1EPTIDE')
['P', 'mod1E', 'P', 'T', 'I', 'D', 'E']

pyteomics.parser.peptidoforms(sequence, **kwargs)[source]¶

Apply variable and fixed modifications to the polypeptide and yield the unique modified sequences.

Parameters:

sequence (str) – Peptide sequence to modify.
variable_mods (dict, optional) –
A dict of variable modifications in the following format: {'label1': ['X', 'Y', ...], 'label2': ['X', 'A', 'B', ...]}

Keys in the dict are modification labels (terminal modifications allowed). Values are iterables of residue labels (one letter each) or True. If a value for a modification is True, it is applicable to any residue (useful for terminal modifications). You can use values such as ‘ntermX’ or ‘ctermY’ to specify that a mdofication only occurs when the residue is in the terminal position. This is not needed for terminal modifications.

Note

Several variable modifications can occur on amino acids of the same type, but in the output each amino acid residue will be modified at most once (apart from terminal modifications).
fixed_mods (dict, optional) –
A dict of fixed modifications in the same format.

Note: if a residue is affected by a fixed modification, no variable modifications will be applied to it (apart from terminal modifications).
labels (list, optional) – A list of amino acid labels containing all the labels present in sequence. Modified entries will be added automatically. Defaults to std_labels. Not required since version 2.5.
max_mods (int or None, optional) – Number of modifications that can occur simultaneously on a peptide, excluding fixed modifications. If None or if max_mods is greater than the number of modification sites, all possible isoforms are generated. Default is None.
override (bool, optional) – Defines how to handle the residues that are modified in the input. False means that they will be preserved (default). True means they will be treated as unmodified.
show_unmodified_termini (bool, optional) – If True then the unmodified N- and C-termini are explicitly shown in the returned sequences. Default value is False.
format (str, optional) – If 'str' (default), an iterator over sequences is returned. If 'split', the iterator will yield results in the same format as parse() with the ‘split’ option, with unmodified terminal groups shown.

Returns:

out – All possible unique polypeptide sequences resulting from the specified modifications are yielded obe by one.

Return type:

iterator over strings or lists

pyteomics.parser.psims_rules = {'2-iodobenzoate': '(?<=W)', 'Arg-C': '(?<=R)(?!P)', 'Asp-N': '(?=[BD])', 'Asp-N ambic': '(?=[DE])', 'CNBr': '(?<=M)', 'Chymotrypsin': '(?<=[FYWL])(?!P)', 'Formic acid': '((?<=D))|((?=D))', 'Lys-C': '(?<=K)(?!P)', 'Lys-C/P': '(?<=K)', 'PepsinA': '(?<=[FL])', 'TrypChymo': '(?<=[FYWLKR])(?!P)', 'Trypsin': '(?<=[KR])(?!P)', 'Trypsin/P': '(?<=[KR])', 'V8-DE': '(?<=[BDEZ])(?!P)', 'V8-E': '(?<=[EZ])(?!P)', 'glutamyl endopeptidase': '(?<=[^E]E)', 'leukocyte elastase': '(?<=[ALIV])(?!P)', 'proline endopeptidase': '(?<=[HKR]P)(?!P)'}¶

This dict contains regular expressions for cleavage rules of the most popular proteolytic enzymes. The rules were taken from the PSI MS ontology.

You can use names or accessions to access the rules. Use pyteomics.auxiliary.cvquery() for accession access:

>>> from pyteomics.auxiliary import cvquery
>>> from pyteomics.parser import psims_rules
>>> cvquery(psims_rules, 'MS:1001918')
'(?<=W)'

pyteomics.parser.std_amino_acids = ['Q', 'W', 'E', 'R', 'T', 'Y', 'I', 'P', 'A', 'S', 'D', 'F', 'G', 'H', 'K', 'L', 'C', 'V', 'N', 'M']¶: modX labels for the 20 standard amino acids.

pyteomics.parser.std_cterm = '-OH'¶: modX label for the unmodified C-terminus.

pyteomics.parser.std_labels = ['Q', 'W', 'E', 'R', 'T', 'Y', 'I', 'P', 'A', 'S', 'D', 'F', 'G', 'H', 'K', 'L', 'C', 'V', 'N', 'M', 'H-', '-OH']¶: modX labels for the standard amino acids and unmodified termini.

pyteomics.parser.std_nterm = 'H-'¶: modX label for the unmodified N-terminus.

pyteomics.parser.strip(sequence: __annotationlib_name_2__ | Iterable[__annotationlib_name_1__] | Iterable[__annotationlib_name_3__] | 'ProForma') → str[source]¶

Remove all modifications and terminal groups from a modX sequence, parsed sequence or ProForma object, and return a one-letter sequence string.

Examples

>>> strip('Ac-oxMYPEPTIDE-OH')
'MYPEPTIDE'
>>> strip(['Ac-', 'oxM', 'Y', 'P', 'E', 'pP', 'T', 'I', 'D', 'E', '-OH'])
'MYPEPTIDE'

pyteomics.parser.to_proforma(sequence, **kwargs)[source]¶

Converts a (parsed) modX sequence to a basic ProForma string. Modifications are represented as masses, if those are given in :arg:`aa_mass`, as chemical formulas (via :arg:`aa_comp`) or as names (using :arg:`mod_names`).

Parameters:

sequence (str or list) – A modX sequence, possibly in the parsed form.
aa_mass (dict, keyword only, optional) – Used to render modifications as mass shifts.
aa_comp (dict, keyword only, optional) – Used to render modifications as chemical formulas.
mod_names (dict or callable, keyword only, optional) – Used to get the rendered name of modification from the mod label.
prefix (str, keyword only, optional) – Prepend all modification names with the given prefix.

Returns:

out – A ProForma sequence.

Return type:

str

Examples

>>> to_proforma('PEPTIDE')
'PEPTIDE'
>>> to_proforma('Ac-oxMYPEPTIDE-OH', aa_mass={'Ac-': 42.010565}, mod_names={'ox': 'Oxidation'}, prefix='U:')
'[+42.0106]-M[U:Oxidation]YPEPTIDE'
>>> to_proforma('oxidationMYPEPTIDE')  # last fallback is to just capitalize the label
'M[Oxidation]YPEPTIDE'

pyteomics.parser.to_string(parsed_sequence: Iterable[str] | Iterable[tuple], show_unmodified_termini=True)[source]¶

Create a string from a parsed sequence.

Parameters:

parsed_sequence (iterable) – Expected to be in one of the formats returned by parse(), i.e. list of labels or list of tuples.
show_unmodified_termini (bool, optional) – Defines the behavior towards standard terminal groups in the input. True means that they will be preserved if present (default). False means that they will be removed. Standard terminal groups will not be added if not shown in parsed_sequence, regardless of this setting.

Returns:

sequence

Return type:

str

pyteomics.parser.tostring(parsed_sequence: Iterable[str] | Iterable[tuple], show_unmodified_termini=True)¶

Create a string from a parsed sequence.

Parameters:

parsed_sequence (iterable) – Expected to be in one of the formats returned by parse(), i.e. list of labels or list of tuples.
show_unmodified_termini (bool, optional) – Defines the behavior towards standard terminal groups in the input. True means that they will be preserved if present (default). False means that they will be removed. Standard terminal groups will not be added if not shown in parsed_sequence, regardless of this setting.

Returns:

sequence

Return type:

str

pyteomics.parser.valid(*args, **kwargs)[source]¶

Try to parse sequence and catch the exceptions. All parameters are passed to parse().

Returns:: out – True if the sequence was parsed successfully, and False otherwise.
Return type:: bool

pyteomics.parser.xcleave(*args, **kwargs)[source]¶

Like icleave(), but returns a list.

Returns:: out – A list of (index, sequence) pairs.
Return type:: list

Examples

>>> xcleave('AKAKBK', 'trypsin', 1)
[(0, 'AK'), (0, 'AKAK'), (2, 'AK'), (2, 'AKBK'), (4, 'BK')]

Pyteomics documentation v5.0rc2