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Molecular mass calculations

Molmass is a Python library, console script, and web application to calculate the molecular mass (average, nominal, and isotopic pure), the elemental composition, and the mass distribution spectrum of a molecule given by its chemical formula, relative element weights, or sequence.

Calculations are based on the isotopic composition of the elements. Mass deficiency due to chemical bonding is not taken into account.

The library includes a database of physicochemical and descriptive properties of the chemical elements.

Author

Christoph Gohlke

License

BSD 3-Clause

Version

2023.8.30

DOI

10.5281/zenodo.7135495

Quickstart

Install the molmass package and all dependencies from the Python Package Index:

python -m pip install -U molmass[all]

Print the console script usage:

python -m molmass --help

Run the web application:

python -m molmass --web

The molmass library is documented via docstrings.

See Examples for using the programming interface.

Source code and support are available on GitHub.

Requirements

This revision was tested with the following requirements and dependencies (other versions may work):

Revisions

2023.8.30

  • Fix linting issues.
  • Add py.typed marker.
  • Remove support for Python 3.8.

2023.4.10

  • Support rdkit-style ionic charges (#11, #12).
  • Enable multiplication without addition in from_string.

2022.12.9

  • Fix split_charge formula with trailing ]] (#11).

2022.10.18

  • Several breaking changes.
  • Add experimental support for ion charges (#5).
  • Change Element, Isotope, and Particle to dataclass (breaking).
  • Change types of Spectrum and Composition (breaking).
  • Add functions to export Spectrum and Composition as Pandas DataFrames.
  • Replace lazyattr with functools.cached_property.
  • Rename molmass_web to web (breaking).
  • Change output of web application (breaking).
  • Run web application using Flask if installed.
  • Add options to specify URL of web application and not opening web browser.
  • Convert to Google style docstrings.
  • Add type hints.
  • Remove support for Python 3.7.

2021.6.18

  • Add Particle types to elements (#5).
  • Fix molmass_web failure on WSL2 (#9).
  • Fix elements_gui layout issue.
  • Remove support for Python 3.6.

2020.6.10

  • Fix elements_gui symbol size on WSL2.
  • Support wxPython 4.1.

2020.1.1

  • Update elements atomic weights and isotopic compositions from NIST.
  • Move element descriptions into separate module.
  • Remove support for Python 2.7 and 3.5.

2018.8.15

  • Move modules into molmass package.

2018.5.29

  • Add option to start web interface from console.
  • Separate styles from content and use CSS flex layout in molmass_web.

2018.5.25

  • Style and docstring fixes.
  • Make from_fractions output deterministic.
  • Accept Flask request.args in molmass_web.
  • Style and template changes in molmass_web.

2016.2.25

  • Fix some elements ionization energies.

2005.x.x

  • Initial release.

Examples

Calculate the molecular mass, elemental composition, and mass distribution of a molecule from its chemical formula:

>>> from molmass import Formula >>> f = Formula('C8H10N4O2') # Caffeine >>> f Formula('C8H10N4O2') >>> f.formula # hill notation 'C8H10N4O2' >>> f.empirical 'C4H5N2O' >>> f.mass # average mass 194.1909... >>> f.nominal_mass # == f.isotope.massnumber 194 >>> f.monoisotopic_mass # == f.isotope.mass 194.0803... >>> f.atoms 24 >>> f.charge 0 >>> f.composition().dataframe() Count Relative mass Fraction Element... C 8 96.085920 0.494801 H 10 10.079410 0.051905 N 4 56.026812 0.288514 O 2 31.998810 0.164780 >>> f.spectrum(min_intensity=0.01).dataframe() Relative mass Fraction Intensity % m/z Mass number... 194 194.080376 0.898828 100.000000 194.080376 195 195.082873 0.092625 10.305100 195.082873 196 196.084968 0.008022 0.892492 196.084968 197 197.087214 0.000500 0.055681 197.087214

Access physicochemical and descriptive properties of the chemical elements:

>>> from molmass import ELEMENTS, Element >>> e = ELEMENTS['C'] >>> e Element( 6, 'C', 'Carbon', group=14, period=2, block='p', series=1, mass=12.01074, eleneg=2.55, eleaffin=1.262118, covrad=0.77, atmrad=0.91, vdwrad=1.7, tboil=5100.0, tmelt=3825.0, density=3.51, eleconfig='[He] 2s2 2p2', oxistates='4*, 2, -4*', ionenergy=( 11.2603, 24.383, 47.877, 64.492, 392.077, 489.981, ), isotopes={ 12: Isotope(12.0, 0.9893, 12), 13: Isotope(13.00335483507, 0.0107, 13), }, ) >>> e.number 6 >>> e.symbol 'C' >>> e.name 'Carbon' >>> e.description 'Carbon is a member of group 14 of the periodic table...' >>> e.eleconfig '[He] 2s2 2p2' >>> e.eleconfig_dict {(1, 's'): 2, (2, 's'): 2, (2, 'p'): 2} >>> str(ELEMENTS[6]) 'Carbon' >>> len(ELEMENTS) 109 >>> sum(e.mass for e in ELEMENTS) 14693.181589001... >>> for e in ELEMENTS: ... e.validate() ... e = eval(repr(e))