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PyMassSpec NIST Search¶

PyMassSpec extension for searching mass spectra using NIST’s Mass Spectrum Search Engine.

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PyMassSpec extension for searching mass spectra using NIST’s Spectrum Search Engine

PyMassSpec NIST Search is Free Software licensed under the GNU Lesser General Public License Version 3.

A copy of the MassBank of North America database, in JSON, MSP and NIST Library formats, is included for the purposes of these tests. This library was created on 22 April 2020 using the “parse_mona_json.py” script and Lib2Nist. Licensed under the CC BY 4.0 License. For a list of contributors, see the file MoNA_GCMS_Library/AUTHORS.

Installation¶

python3 -m pip install pyms-nist-search --user
python3 -m pip install git+https://github.com/domdfcoding/pynist@master --user

Contents¶

Usage¶

You will need to supply your own copy of the NIST Mass Spectral library to use this software.

The main class in this library is the Engine class. This class performs the actual searching. Start by initialising the search engine as follows:

search = pyms_nist_search.Engine(
        FULL_PATH_TO_MAIN_LIBRARY,
        pyms_nist_search.NISTMS_MAIN_LIB,
        FULL_PATH_TO_WORK_DIR,
        )

Where FULL_PATH_TO_MAIN_LIBRARY is the path to the location of your mass spectral library, and FULL_PATH_TO_WORK_DIR is the path to the working directory to be used by the search engine.

A pyms.Spectrum.MassSpectrum object can then be searched as follows:

search.full_search_with_ref_data(mass_spec)

This will return a list of tuples consisting of SearchResult and ReferenceData objects for the possible identities of the mass spectrum.

A list of just the SearchResult objects can be obtained with this method:

hit_list = search.full_search(mass_spec)

For each of these hits, the reference data can be obtained as follows:

for hit in hit_list:
    ref_data = search.get_reference_data(hit.spec_loc)

API Reference¶

PyMassSpec extension for searching mass spectra using NIST’s Mass Spectrum Search Engine.

base¶

Base class for other PyMassSpec NIST Search classes.

class NISTBase(name='', cas='---')[source]¶

Bases: object

Base class for other PyMassSpec NIST Search classes.

Parameters
  • name (str) – The name of the compound. Default ''.

  • cas (Union[str, int]) – The CAS number of the compound. Default '---'.

Methods:

__eq__(other)

Return self == other.

__str__()

Return str(self).

from_dict(dictionary)

Construct an object from a dictionary.

from_json(json_data)

Construct an object from json data.

from_pynist(pynist_dict)

Create an object from the raw data returned by the C extension.

to_dict()

Convert the object to a dictionary.

to_json()

Convert the object to json.

Attributes:

cas

The CAS number of the compound.

name

The name of the compound.

__eq__(other)[source]¶

Return self == other.

Return type

bool

__str__()[source]¶

Return str(self).

Return type

str

property cas¶

The CAS number of the compound.

Return type

str

classmethod from_dict(dictionary)[source]¶

Construct an object from a dictionary.

Parameters

dictionary (Dict[str, Any])

classmethod from_json(json_data)[source]¶

Construct an object from json data.

Parameters

json_data (str)

classmethod from_pynist(pynist_dict)[source]¶

Create an object from the raw data returned by the C extension.

Parameters

pynist_dict (Dict[str, Any])

property name¶

The name of the compound.

Return type

str

to_dict()[source]¶

Convert the object to a dictionary.

New in version 0.6.0.

Return type

Dict[str, Any]

to_json()[source]¶

Convert the object to json.

Return type

str

docker_engine¶

Search engine for Linux and other platforms supporting Docker.

Classes:

Engine(lib_path[, lib_type, work_dir, debug])

Search engine for Linux and other platforms supporting Docker.

Functions:

hit_list_from_json(json_data)

Parse json data into a list of SearchResult objects.

hit_list_with_ref_data_from_json(json_data)

Parse json data into a list of (SearchResult, ReferenceData) tuples.

require_init(func)

Decorator to ensure that functions do not run after the class has been uninitialised.

class Engine(lib_path, lib_type=1, work_dir=None, debug=False)[source]¶

Bases: object

Search engine for Linux and other platforms supporting Docker.

The first time the engine is initialized it will download the latest version of the docker image automatically. This can also be performed manually, such as to upgrade to the latest version, with the following command:

docker pull domdfcoding/pywine-pyms-nist

The engine must be uninitialized when no longer required to shut down the underlying docker container. This is achieved with the uninit() method. Alternatively, this class can be used as a contextmanager to automatically uninitialize the engine upon leaving the with block:

with pyms_nist_search.Engine(
        FULL_PATH_TO_MAIN_LIBRARY,
        pyms_nist_search.NISTMS_MAIN_LIB,
        FULL_PATH_TO_WORK_DIR,
        ) as search:
    search.full_spectrum_search(ms, n_hits=5)

Changed in version 0.6.0: Added context manager support.

Methods:

full_search_with_ref_data(mass_spec[, n_hits])

Perform a Full Spectrum Search of the mass spectral library, including reference data.

full_spectrum_search(mass_spec[, n_hits])

Perform a Full Spectrum Search of the mass spectral library.

get_reference_data(spec_loc)

Get reference data from the library for the compound at the given location.

spectrum_search(mass_spec[, n_hits])

Perform a Quick Spectrum Search of the mass spectral library.

uninit()

Uninitialize the Search Engine.

full_search_with_ref_data(mass_spec, n_hits=5)[source]¶

Perform a Full Spectrum Search of the mass spectral library, including reference data.

Parameters
  • mass_spec (MassSpectrum) – The mass spectrum to search against the library.

  • n_hits (int) – The number of hits to return. Default 5.

Return type

List[Tuple[SearchResult, ReferenceData]]

Returns

List of tuples containing possible identities for the mass spectrum, and the reference data.

full_spectrum_search(mass_spec, n_hits=5)[source]¶

Perform a Full Spectrum Search of the mass spectral library.

Parameters
  • mass_spec (MassSpectrum) – The mass spectrum to search against the library.

  • n_hits (int) – The number of hits to return. Default 5.

Return type

List[SearchResult]

Returns

List of possible identities for the mass spectrum.

get_reference_data(spec_loc)[source]¶

Get reference data from the library for the compound at the given location.

Parameters

spec_loc (int)

Return type

ReferenceData

spectrum_search(mass_spec, n_hits=5)[source]¶

Perform a Quick Spectrum Search of the mass spectral library.

Parameters
  • mass_spec (MassSpectrum) – The mass spectrum to search against the library.

  • n_hits (int) – The number of hits to return. Default 5.

Return type

List[SearchResult]

Returns

List of possible identities for the mass spectrum.

uninit()[source]¶

Uninitialize the Search Engine.

hit_list_from_json(json_data)[source]¶

Parse json data into a list of SearchResult objects.

Parameters

json_data (str) – str

Return type

List[SearchResult]

hit_list_with_ref_data_from_json(json_data)[source]¶

Parse json data into a list of (SearchResult, ReferenceData) tuples.

Parameters

json_data (str) – str

Return type

List[Tuple[SearchResult, ReferenceData]]

require_init(func)[source]¶

Decorator to ensure that functions do not run after the class has been uninitialised.

Parameters

func (Callable) – The function or method to wrap.

Return type

Callable

reference_data¶

Class to store reference data from NIST MS Search.

class ReferenceData(name='', cas='---', nist_no=0, id='', mw=0.0, formula='', contributor='', mass_spec=None, synonyms=None, exact_mass=None)[source]¶

Bases: NISTBase

Class to store reference data from NIST MS Search.

Parameters
  • name (str) – The name of the compound. Default ''.

  • cas (Union[str, int]) – The CAS number of the compound. Default '---'.

  • nist_no (Union[int, str]) – Default 0.

  • id (Union[str, int]) – Default ''.

  • mw (Union[float, str]) – Default 0.0.

  • formula (str) – The formula of the compound. Default ''.

  • contributor (str) – The contributor to the library. Default ''.

  • mass_spec (Optional[MassSpectrum]) – The reference mass spectrum. Default None.

  • synonyms (Optional[Sequence[str]]) – List of synonyms for the compound. Default None.

Methods:

__repr__()

Return a string representation of the ReferenceData.

from_jcamp(file_name[, ignore_warnings])

Create a ReferenceData object from a JCAMP-DX file.

from_json(json_data)

Construct an object from JSON data.

from_mona_dict(mona_data)

Construct an object from Massbank of North America json data that has been loaded into a dictionary.

from_pynist(pynist_dict)

Create a ReferenceData object from the raw data returned by the C extension.

to_dict()

Convert the object to a dictionary.

to_json()

Convert the object to JSON.

to_msp()

Returns the ReferenceData object as an MSP file similar to that produced by NIST MS Search’s export function.

Attributes:

contributor

The name of the contributor to the library.

exact_mass

The exact mass of the compound.

formula

The formula of the compound.

id

The ID of the compound.

mass_spec

The mass spectrum of the compound.

mw

The molecular weight of the compound.

nist_no

The NIST number of the compund.

synonyms

A list of synonyms for the compound.

__repr__()[source]¶

Return a string representation of the ReferenceData.

Return type

str

property contributor¶

The name of the contributor to the library.

Return type

str

property exact_mass¶

The exact mass of the compound.

Return type

float

property formula¶

The formula of the compound.

Return type

str

classmethod from_jcamp(file_name, ignore_warnings=True)[source]¶

Create a ReferenceData object from a JCAMP-DX file.

Parameters
  • file_name (Union[str, Path, PathLike]) – Path of the file to read.

  • ignore_warnings (bool) – Whether warnings about invalid tags should be shown. Default True.

Authors

Qiao Wang, Andrew Isaac, Vladimir Likic, David Kainer, Dominic Davis-Foster

Return type

ReferenceData

classmethod from_json(json_data)[source]¶

Construct an object from JSON data.

Parameters

json_data (str)

Return type

ReferenceData

classmethod from_mona_dict(mona_data)[source]¶

Construct an object from Massbank of North America json data that has been loaded into a dictionary.

Parameters

mona_data (Dict) – dict

Return type

ReferenceData

classmethod from_pynist(pynist_dict)[source]¶

Create a ReferenceData object from the raw data returned by the C extension.

Parameters

pynist_dict (Dict[str, Any])

Return type

ReferenceData

property id¶

The ID of the compound.

Return type

str

property mass_spec¶

The mass spectrum of the compound.

Return type

Optional[MassSpectrum]

property mw¶

The molecular weight of the compound.

Return type

int

property nist_no¶

The NIST number of the compund.

Return type

int

property synonyms¶

A list of synonyms for the compound.

Return type

List[str]

to_dict()[source]¶

Convert the object to a dictionary.

New in version 0.6.0.

Return type

Dict[str, Any]

to_json()[source]¶

Convert the object to JSON.

Return type

str

to_msp()[source]¶

Returns the ReferenceData object as an MSP file similar to that produced by NIST MS Search’s export function.

Return type

str

search_result¶

Class to store search results from NIST MS Search.

class SearchResult(name='', cas='---', match_factor=0, reverse_match_factor=0, hit_prob=0.0, spec_loc=0)[source]¶

Bases: NISTBase

Class to store search results from NIST MS Search.

Parameters
  • name (str) – The name of the compound. Default ''.

  • cas (Union[str, int]) – The CAS number of the compound. Default '---'.

  • match_factor (float) – Default 0.

  • reverse_match_factor (float) – Default 0.

  • hit_prob (float) – Default 0.0.

  • spec_loc (float) – The location of the reference spectrum in the library. Default 0.

Methods:

from_pynist(pynist_dict)

Create a SearchResult object from the raw data returned by the C extension.

to_dict()

Convert the object to a dictionary.

Attributes:

hit_prob

Returns the probability of the hit being the compound responsible for the mass spectrum.

match_factor

Returns a score (out of 1000) representing the similarity of the searched mass spectrum to the search result.

reverse_match_factor

A score (out of 1000) representing the similarity of the searched mass spectrum to the search result, but ignoring any peaks that are in the searched mass spectrum but not in the library spectrum.

spec_loc

The location of the reference spectrum in the library.

classmethod from_pynist(pynist_dict)[source]¶

Create a SearchResult object from the raw data returned by the C extension.

Parameters

pynist_dict (Dict[str, Any])

Return type

SearchResult

property hit_prob¶

Returns the probability of the hit being the compound responsible for the mass spectrum.

Return type

float

property match_factor¶

Returns a score (out of 1000) representing the similarity of the searched mass spectrum to the search result.

Return type

int

property reverse_match_factor¶

A score (out of 1000) representing the similarity of the searched mass spectrum to the search result, but ignoring any peaks that are in the searched mass spectrum but not in the library spectrum.

Return type

int

property spec_loc¶

The location of the reference spectrum in the library.

This can then be searched using the get_reference_data() method of the search engine to obtain the reference data.

Return type

int

to_dict()[source]¶

Convert the object to a dictionary.

New in version 0.6.0.

Return type

Dict[str, Any]

utils¶

General utilities.

Functions:

pack(mass_spec[, top])

Convert a pyms.Spectrum.MassSpectrum object into a string.

parse_name_chars(name_char_list)

Takes a list of Unicode character codes and converts them to characters, taking into account the special codes used by the NIST DLL.

pack(mass_spec, top=20)[source]¶

Convert a pyms.Spectrum.MassSpectrum object into a string.

Adapted from https://sourceforge.net/projects/mzapi-live/

Parameters
  • mass_spec (MassSpectrum)

  • top (int) – The number of largest peaks to identify. Default 20.

Return type

str

parse_name_chars(name_char_list)[source]¶

Takes a list of Unicode character codes and converts them to characters, taking into account the special codes used by the NIST DLL.

Parameters

name_char_list (Sequence[int])

Return type

str

Returns

The parsed name.

win_engine¶

Search engine for Windows systems.

class Engine(lib_path, lib_type=1, work_dir=None, debug=False)[source]¶

Bases: object

Search engine for Windows systems.

Parameters
  • lib_path (Union[str, Path, PathLike]) – The path to the mass spectral library.

  • lib_type (int) – The type of library. One of NISTMS_MAIN_LIB, NISTMS_USER_LIB, NISTMS_REP_LIB. Default 1.

  • work_dir (Union[str, Path, PathLike, None]) – The path to the working directory. Default None.

Methods:

full_search_with_ref_data(mass_spec[, n_hits])

Perform a Full Spectrum Search of the mass spectral library, including reference data.

full_spectrum_search(mass_spec[, n_hits])

Perform a Full Spectrum Search of the mass spectral library.

get_reference_data(spec_loc)

Get reference data from the library for the compound at the given location.

spectrum_search(mass_spec[, n_hits])

Perform a Quick Spectrum Search of the mass spectral library.

uninit()

Uninitialize the Search Engine.

full_search_with_ref_data(mass_spec, n_hits=5)[source]¶

Perform a Full Spectrum Search of the mass spectral library, including reference data.

Parameters
  • mass_spec (MassSpectrum) – The mass spectrum to search against the library.

  • n_hits (int) – The number of hits to return. Default 5.

Return type

List[Tuple[SearchResult, ReferenceData]]

Returns

List of tuples containing possible identities for the mass spectrum, and the reference data

static full_spectrum_search(mass_spec, n_hits=5)[source]¶

Perform a Full Spectrum Search of the mass spectral library.

Parameters
  • mass_spec (MassSpectrum) – The mass spectrum to search against the library.

  • n_hits (int) – The number of hits to return. Default 5.

Return type

List[SearchResult]

Returns

List of possible identities for the mass spectrum.

static get_reference_data(spec_loc)[source]¶

Get reference data from the library for the compound at the given location.

Parameters

spec_loc (int)

Return type

ReferenceData

static spectrum_search(mass_spec, n_hits=5)[source]¶

Perform a Quick Spectrum Search of the mass spectral library.

Parameters
  • mass_spec (MassSpectrum) – The mass spectrum to search against the library.

  • n_hits (int) – The number of hits to return. Default 5.

Return type

List[SearchResult]

Returns

List of possible identities for the mass spectrum.

uninit()[source]¶

Uninitialize the Search Engine.

Contributing¶

pyms-nist-search uses tox to automate testing and packaging, and pre-commit to maintain code quality.

Install pre-commit with pip and install the git hook:

python -m pip install pre-commit
pre-commit install

Coding style¶

formate is used for code formatting.

It can be run manually via pre-commit:

pre-commit run formate -a

Or, to run the complete autoformatting suite:

pre-commit run -a

Automated tests¶

Tests are run with tox and pytest. To run tests for a specific Python version, such as Python 3.6:

tox -e py36

To run tests for all Python versions, simply run:

tox

Type Annotations¶

Type annotations are checked using mypy. Run mypy using tox:

tox -e mypy

Build documentation locally¶

The documentation is powered by Sphinx. A local copy of the documentation can be built with tox:

tox -e docs

License¶

pyms-nist-search is licensed under the GNU Lesser General Public License v3.0

Permissions of this copyleft license are conditioned on making available complete source code of licensed works and modifications under the same license or the GNU GPLv3. Copyright and license notices must be preserved. Contributors provide an express grant of patent rights. However, a larger work using the licensed work through interfaces provided by the licensed work may be distributed under different terms and without source code for the larger work.

Permissions Conditions Limitations
  • Commercial use
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  • Distribution
  • Patent use
  • Private use
  • License and copyright notice
  • Disclose source
  • State changes
  • Same license (library)
  • Liability
  • Warranty
See more information on choosealicense.com ➩

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Downloading source code¶

The pyms-nist-search source code is available on GitHub, and can be accessed from the following URL: https://github.com/domdfcoding/pynist

If you have git installed, you can clone the repository with the following command:

git clone https://github.com/domdfcoding/pynist
Cloning into 'pynist'...
remote: Enumerating objects: 47, done.
remote: Counting objects: 100% (47/47), done.
remote: Compressing objects: 100% (41/41), done.
remote: Total 173 (delta 16), reused 17 (delta 6), pack-reused 126
Receiving objects: 100% (173/173), 126.56 KiB | 678.00 KiB/s, done.
Resolving deltas: 100% (66/66), done.
Alternatively, the code can be downloaded in a ‘zip’ file by clicking:
Clone or download –> Download Zip
Downloading a 'zip' file of the source code.

Downloading a ‘zip’ file of the source code¶

Building from source¶

The recommended way to build pyms-nist-search is to use tox:

tox -e build

The source and wheel distributions will be in the directory dist.

If you wish, you may also use pep517.build or another PEP 517-compatible build tool.

View the Function Index or browse the Source Code.

Browse the GitHub Repository

Copyright © 2020-2021 Dominic Davis-Foster | Built with Sphinx and @pradyunsg's Furo theme.
Contents
  • Home
  • Usage
  • API Reference
    • base
      • NISTBase
    • docker_engine
      • Engine
      • hit_list_from_json
      • hit_list_with_ref_data_from_json
      • require_init
    • reference_data
      • ReferenceData
    • search_result
      • SearchResult
    • utils
      • pack
      • parse_name_chars
    • win_engine
      • Engine
  • Contributing
    • Coding style
    • Automated tests
    • Type Annotations
    • Build documentation locally
  • License
  • Downloading source code
    • Building from source

Links

  • GitHub
  • PyPI