Skip to main content

A tool for fitting data from titration experiments.

Project description

Musketeer

A software tool for fitting data from titration experiments.

Installation

Windows & MacOS (Apple Silicon):

You can install the latest .msi or .dmg installer here.

Any platform (requires Python)

Install the latest release of python from the official website. Then, in a terminal window or command prompt, type:

  • Mac: python3 -m pip install musketeer
  • Windows: python -m pip install musketeer

You can now run Musketeer any time by typing:

  • Mac: python3 -m musketeer
  • Windows: python -m musketeer

Usage Instructions

Example files

Two example files are provided:

Loading titration data

When starting Musketeer, you will see the option to either Create a new fit file or Open an existing file. Musketeer can directly open the following files:

  • .fit files created using Musketeer
  • .csv files obtained using Cary UV/Vis spectrometers
  • .csv files exported from Mnova as "NMR 1D Peak List"

For other data sources, select Create a new fit file, and click Enter/edit spectroscopic data. This will open a spreadsheet interface where you can type or paste titration data. If you would like to request support for a new file format, please describe it by submitting a feature request!

Model specification

Once a file is loaded, the left side of the window will show a series of dropdown menus. Going from top to bottom, each of these can be adjusted to describe some part of the model:

  • The Experiment section allows you to edit the signals to fit, specify the concentrations or cumulative addition volumes for each data point, and whether the system is under fast or slow exchange.
  • The Equilibria section allows you to define the complexes formed in your system, and specify known values for equilibrium constants or relationships between them (such as the absence of cooperativity).
  • The Spectra section allows you to define which compounds contribute to the observed signal, limit the number of variables by defining specific states that contribute to the signals (e.g. spectroscopically active groups), fix known spectra, or constrain the fitted spectra (e.g. force UV-Vis spectra to be non-negative).
  • The Fitting section controls how the fit from different signals is weighted, which is currently only recommended for backwards compatibility.

If a dropdown requires you to input more data, it will show more information at the top of a popup window.

Fitting

When you have selected the appropriate option in each dropdown, press Fit to fit the data. Several tabs will appear, showing the fit to the data points, the calculated speciation, and the fitted equilibrium constants and spectra. The save button to the bottom left of each plot allows you to save it as an image file.

To compare the fit to a different model, Copy fit can create a new tab with the same options, some of which can then be modified. If you change any options, it may be necessary to re-enter the dropdowns below it as well: for example, if you add a new complex, you may need to re-enter which equilibrium constants are fixed.

Finally, the File->Save at the top of the screen allows you to save your work as a .fit file, which you can reopen at another time, or share with others.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

musketeer-1.7.2.tar.gz (246.7 kB view details)

Uploaded Source

Built Distribution

musketeer-1.7.2-py3-none-any.whl (114.2 kB view details)

Uploaded Python 3

File details

Details for the file musketeer-1.7.2.tar.gz.

File metadata

  • Download URL: musketeer-1.7.2.tar.gz
  • Upload date:
  • Size: 246.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for musketeer-1.7.2.tar.gz
Algorithm Hash digest
SHA256 99f10c6b034b824ad0f90261d932f1e4e78a458bc7b78b3c68dedcf2bd2e1a8b
MD5 63934db06a01a57caf9b091ba182fdd3
BLAKE2b-256 4a9b41c8c0f745c821c99b146483c6e52539cbeba2abb10fc34ef89fb55d9d04

See more details on using hashes here.

File details

Details for the file musketeer-1.7.2-py3-none-any.whl.

File metadata

  • Download URL: musketeer-1.7.2-py3-none-any.whl
  • Upload date:
  • Size: 114.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for musketeer-1.7.2-py3-none-any.whl
Algorithm Hash digest
SHA256 115dc4fd72dced25bc3c990a91a97424067b818d2aad2e925c311d25f6d2013a
MD5 804764baa60f9fb09ec5174f62600acd
BLAKE2b-256 58e45183ca4415e112ec46f05d003455c52fa9d674f3342295729a0794deedc4

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page